Overview

Dataset statistics

Number of variables183
Number of observations314
Missing cells225
Missing cells (%)0.4%
Total size in memory408.4 KiB
Average record size in memory1.3 KiB

Variable types

Numeric177
Text6

Alerts

discussion has constant value ""Constant
Please share any comments or suggestions related to this issue. Thank You has 225 (71.7%) missing valuesMissing
Gender has 178 (56.7%) zerosZeros
Level of Study has 28 (8.9%) zerosZeros
Field of study has 217 (69.1%) zerosZeros
Household Income has 158 (50.3%) zerosZeros
Learning Objects [Book] has 15 (4.8%) zerosZeros
Learning Objects [Educational game] has 16 (5.1%) zerosZeros
Learning Objects [Audio-recorded lecture] has 16 (5.1%) zerosZeros
Learning Objects [Animated instruction] has 5 (1.6%) zerosZeros
Learning Objects [Real object model] has 8 (2.5%) zerosZeros
Learning Objects [Mind Map] has 11 (3.5%) zerosZeros
Learning Objects [Multimedia content] has 7 (2.2%) zerosZeros
Learning Objects [Interactive Tool] has 6 (1.9%) zerosZeros
Learning Objects [Technology-supported learning include computer-based training systems] has 7 (2.2%) zerosZeros
Learning Objects [Intelligent computer-aided instruction systems] has 7 (2.2%) zerosZeros
6. Online Instructional Strategies/Assessment [Live Lecture] has 6 (1.9%) zerosZeros
6. Online Instructional Strategies/Assessment [Pre-Recorded Lecture] has 6 (1.9%) zerosZeros
6. Online Instructional Strategies/Assessment [Pre-Recorded Slide Lecture] has 13 (4.1%) zerosZeros
6. Online Instructional Strategies/Assessment [Guided Learning (Hands on)] has 6 (1.9%) zerosZeros
6. Online Instructional Strategies/Assessment [Written assignment] has 138 (43.9%) zerosZeros
6. Online Instructional Strategies/Assessment [Digital Lab Experiments] has 14 (4.5%) zerosZeros
6. Online Instructional Strategies/Assessment [Live Group Discussions] has 10 (3.2%) zerosZeros
6. Online Instructional Strategies/Assessment [Forum] has 22 (7.0%) zerosZeros
6. Online Instructional Strategies/Assessment [Case Study] has 140 (44.6%) zerosZeros
6. Online Instructional Strategies/Assessment [Games] has 14 (4.5%) zerosZeros
6. Online Instructional Strategies/Assessment [Journaling] has 26 (8.3%) zerosZeros
6. Online Instructional Strategies/Assessment [YouTube Video] has 8 (2.5%) zerosZeros
6. Online Instructional Strategies/Assessment [Video based feedback] has 11 (3.5%) zerosZeros
6. Online Instructional Strategies/Assessment [Live Chat] has 13 (4.1%) zerosZeros
6. Online Instructional Strategies/Assessment [Brainstorming] has 13 (4.1%) zerosZeros
6. Online Instructional Strategies/Assessment [Online Debate] has 39 (12.4%) zerosZeros
6. Online Instructional Strategies/Assessment [Blog Writing] has 46 (14.6%) zerosZeros
6. Online Instructional Strategies/Assessment [Problem Based Learning] has 11 (3.5%) zerosZeros
6. Online Instructional Strategies/Assessment [Internet Research] has 7 (2.2%) zerosZeros
6. Online Instructional Strategies/Assessment [Invited Guest Online Lecture] has 13 (4.1%) zerosZeros
6. Online Instructional Strategies/Assessment [Virtual Field Trip] has 10 (3.2%) zerosZeros
6. Online Instructional Strategies/Assessment [Exit tickets (End Class Feedback)] has 21 (6.7%) zerosZeros
6. Online Instructional Strategies/Assessment [Learning Reflection] has 13 (4.1%) zerosZeros
6. Online Instructional Strategies/Assessment [Online Exercise/Practice] has 6 (1.9%) zerosZeros
6. Online Instructional Strategies/Assessment [Procedural Demonstration (Perform a given action)] has 13 (4.1%) zerosZeros
6. Online Instructional Strategies/Assessment [Concept Mapping] has 12 (3.8%) zerosZeros
6. Online Instructional Strategies/Assessment [Document Analysis] has 16 (5.1%) zerosZeros
6. Online Instructional Strategies/Assessment [Debugging] has 15 (4.8%) zerosZeros
6. Online Instructional Strategies/Assessment [Review (Article, Play, Movie, Audio, Book, etc.)] has 16 (5.1%) zerosZeros
6. Online Instructional Strategies/Assessment [Real Time Online Exam] has 150 (47.8%) zerosZeros
6. Online Instructional Strategies/Assessment [Individual Project/Assignment] has 86 (27.4%) zerosZeros
6. Online Instructional Strategies/Assessment [Group Project/Assignment] has 105 (33.4%) zerosZeros
6. Online Instructional Strategies/Assessment [Online Quiz/Test - MCQ] has 53 (16.9%) zerosZeros
6. Online Instructional Strategies/Assessment [Online Quiz/Test - Essay] has 139 (44.3%) zerosZeros
6. Online Instructional Strategies/Assessment [Online Quiz/Test - Open Book] has 49 (15.6%) zerosZeros
6. Online Instructional Strategies/Assessment [Peer Review Assessment Live Presentation] has 111 (35.4%) zerosZeros
6. Online Instructional Strategies/Assessment [Recorded Presentation] has 83 (26.4%) zerosZeros
6. Online Instructional Strategies/Assessment [Portfolio] has 148 (47.1%) zerosZeros
Are you familiar with the term learning style before this survey? has 76 (24.2%) zerosZeros
Are you aware what your learning style is? has 73 (23.2%) zerosZeros
Do you think knowing your own learning style is important in improving your learning ability? has 5 (1.6%) zerosZeros
1. When operating new equipment for the first time I prefer to has 49 (15.6%) zerosZeros
2. When seeking travel directions I has 81 (25.8%) zerosZeros
3. When cooking a new dish I has 25 (8.0%) zerosZeros
4. To teach someone something I has 146 (46.5%) zerosZeros
5. I tend to say has 39 (12.4%) zerosZeros
6. I tend to say has 133 (42.4%) zerosZeros
7. I tend to say has 129 (41.1%) zerosZeros
8. Complaining about faulty goods I tend to has 109 (34.7%) zerosZeros
9. I prefer these leisure activities has 35 (11.1%) zerosZeros
10. When shopping generally I tend to has 12 (3.8%) zerosZeros
11. Choosing a holiday I has 96 (30.6%) zerosZeros
12. Choosing a new car I has 55 (17.5%) zerosZeros
13. Learning a new skill has 157 (50.0%) zerosZeros
14. Choosing from a restaurant menu has 162 (51.6%) zerosZeros
15. When listening to a band has 113 (36.0%) zerosZeros
16. When concentrating I has 105 (33.4%) zerosZeros
17. I remember things best by has 123 (39.2%) zerosZeros
18. My first memory is of has 42 (13.4%) zerosZeros
19. When anxious I has 70 (22.3%) zerosZeros
20. I feel especially connected to others because of has 23 (7.3%) zerosZeros
21. When I revise for an exam, I has 131 (41.7%) zerosZeros
22. When explaining something to someone, I tend to has 60 (19.1%) zerosZeros
23. My main interests are has 128 (40.8%) zerosZeros
24. Most of my free time is spent has 107 (34.1%) zerosZeros
25. When I first contact a new person has 63 (20.1%) zerosZeros
26. I first notice how people has 175 (55.7%) zerosZeros
27. If I am very angry has 239 (76.1%) zerosZeros
28. I find it easiest to remember has 162 (51.6%) zerosZeros
29. I think I can tell someone is lying because has 210 (66.9%) zerosZeros
30. When I'm meeting with an old friend has 143 (45.5%) zerosZeros
Dominant_VAK has 58 (18.5%) zerosZeros
Synchronous Online Learning (Real Time)_learnmode has 173 (55.1%) zerosZeros
Face to Face_learnmode has 99 (31.5%) zerosZeros
Asynchronous Online Learning (On your own time)_learnmode has 176 (56.1%) zerosZeros
Facebook_prefsocmed has 214 (68.2%) zerosZeros
Google Meet_prefsocmed has 312 (99.4%) zerosZeros
Google meet _prefsocmed has 313 (99.7%) zerosZeros
Discord_prefsocmed has 313 (99.7%) zerosZeros
Youtube_prefsocmed has 64 (20.4%) zerosZeros
Google Classroom_prefsocmed has 309 (98.4%) zerosZeros
WhatsApp_prefsocmed has 313 (99.7%) zerosZeros
Microsoft Teams_prefsocmed has 313 (99.7%) zerosZeros
Msteam_prefsocmed has 313 (99.7%) zerosZeros
Instagram_prefsocmed has 149 (47.5%) zerosZeros
Forums_prefsocmed has 313 (99.7%) zerosZeros
YouTube _prefsocmed has 313 (99.7%) zerosZeros
Whatapp_prefsocmed has 313 (99.7%) zerosZeros
LinkedIn_prefsocmed has 313 (99.7%) zerosZeros
zoom_prefsocmed has 311 (99.0%) zerosZeros
Webex_prefsocmed has 313 (99.7%) zerosZeros
Microsoft Team_prefsocmed has 312 (99.4%) zerosZeros
Telegram_prefsocmed has 311 (99.0%) zerosZeros
Reddit_prefsocmed has 312 (99.4%) zerosZeros
Google Classroom _prefsocmed has 313 (99.7%) zerosZeros
Tiktok_prefsocmed has 313 (99.7%) zerosZeros
google meet_prefsocmed has 313 (99.7%) zerosZeros
Twitter_prefsocmed has 225 (71.7%) zerosZeros
Google classroom_prefsocmed has 313 (99.7%) zerosZeros
Telegram and Google Classroom_prefsocmed has 313 (99.7%) zerosZeros
Blogger/Wordpress_prefsocmed has 294 (93.6%) zerosZeros
TIKTOK_prefsocmed has 313 (99.7%) zerosZeros
Call_prefcomm has 272 (86.6%) zerosZeros
Google Classroom _prefcomm has 313 (99.7%) zerosZeros
MS Team_prefcomm has 313 (99.7%) zerosZeros
Google Meet_prefcomm has 311 (99.0%) zerosZeros
Google meet_prefcomm has 312 (99.4%) zerosZeros
Whatsapp_prefcomm has 33 (10.5%) zerosZeros
Google meet _prefcomm has 313 (99.7%) zerosZeros
Discord_prefcomm has 311 (99.0%) zerosZeros
University eLearning Chat Room_prefcomm has 238 (75.8%) zerosZeros
Google Classroom_prefcomm has 312 (99.4%) zerosZeros
Kaizala_prefcomm has 313 (99.7%) zerosZeros
Zoom_prefcomm has 312 (99.4%) zerosZeros
Cisco Webex_prefcomm has 312 (99.4%) zerosZeros
Google Meet _prefcomm has 313 (99.7%) zerosZeros
Microsoft Teams_prefcomm has 312 (99.4%) zerosZeros
Telegram_prefcomm has 148 (47.1%) zerosZeros
Email_prefcomm has 153 (48.7%) zerosZeros
telegram_prefcomm has 313 (99.7%) zerosZeros
no actual study space at home so have to study on the bed_onlinelearningdifficulties has 313 (99.7%) zerosZeros
Time Management_onlinelearningdifficulties has 157 (50.0%) zerosZeros
I've always had a terrible attention span even in f2f classes_onlinelearningdifficulties has 313 (99.7%) zerosZeros
Computer Literacy_onlinelearningdifficulties has 263 (83.8%) zerosZeros
External factors_onlinelearningdifficulties has 313 (99.7%) zerosZeros
ie: family conflicts_onlinelearningdifficulties has 313 (99.7%) zerosZeros
Technical Issues_onlinelearningdifficulties has 138 (43.9%) zerosZeros
No_onlinelearningdifficulties has 309 (98.4%) zerosZeros
Quality of Material_onlinelearningdifficulties has 226 (72.0%) zerosZeros
Not enough data _onlinelearningdifficulties has 313 (99.7%) zerosZeros
Accessibility_onlinelearningdifficulties has 228 (72.6%) zerosZeros
its just that there is no feeling T_T_onlinelearningdifficulties has 313 (99.7%) zerosZeros
I cannot study well using online_onlinelearningdifficulties has 313 (99.7%) zerosZeros
Adaptability_onlinelearningdifficulties has 226 (72.0%) zerosZeros
Focus/Commitment_onlinelearningdifficulties has 116 (36.9%) zerosZeros
Self-Motivation_onlinelearningdifficulties has 102 (32.5%) zerosZeros
Cost_onlinelearningdifficulties has 225 (71.7%) zerosZeros
Health Issues_onlinelearningdifficulties has 289 (92.0%) zerosZeros
University lack of student well-being management_onlinelearningdifficulties has 313 (99.7%) zerosZeros
Line connection_onlinelearningdifficulties has 313 (99.7%) zerosZeros
Not sure_onlinelearningdifficulties has 312 (99.4%) zerosZeros
Cost/Focus/Commitment_onlinelearningdifficulties has 250 (79.6%) zerosZeros
None_onlinelearningdifficulties has 313 (99.7%) zerosZeros
Engagement_onlinelearningdifficulties has 186 (59.2%) zerosZeros
youtube has 170 (54.1%) zerosZeros
live has 180 (57.3%) zerosZeros
debugging has 303 (96.5%) zerosZeros
problem based learning has 310 (98.7%) zerosZeros
recorded has 282 (89.8%) zerosZeros
case study has 313 (99.7%) zerosZeros
demo has 290 (92.4%) zerosZeros
simulation has 311 (99.0%) zerosZeros
guided has 307 (97.8%) zerosZeros
discussion has 314 (100.0%) zerosZeros
forum has 312 (99.4%) zerosZeros
game has 310 (98.7%) zerosZeros
journaling has 313 (99.7%) zerosZeros
writing has 312 (99.4%) zerosZeros

Reproduction

Analysis started2024-01-01 13:26:15.227462
Analysis finished2024-01-01 13:26:17.481765
Duration2.25 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Gender
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4331210191
Minimum0
Maximum1
Zeros178
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:17.886227image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4962979285
Coefficient of variation (CV)1.145864335
Kurtosis-1.938819491
Mean0.4331210191
Median Absolute Deviation (MAD)0
Skewness0.271239062
Sum136
Variance0.2463116339
MonotonicityNot monotonic
2024-01-01T21:26:18.203740image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 178
56.7%
1 136
43.3%
ValueCountFrequency (%)
0 178
56.7%
1 136
43.3%
ValueCountFrequency (%)
1 136
43.3%
0 178
56.7%

Level of Study
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9426751592
Minimum0
Maximum2
Zeros28
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:18.439983image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3436700665
Coefficient of variation (CV)0.3645689219
Kurtosis5.051501875
Mean0.9426751592
Median Absolute Deviation (MAD)0
Skewness-0.9175647936
Sum296
Variance0.1181091146
MonotonicityNot monotonic
2024-01-01T21:26:18.619605image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 276
87.9%
0 28
 
8.9%
2 10
 
3.2%
ValueCountFrequency (%)
0 28
 
8.9%
1 276
87.9%
2 10
 
3.2%
ValueCountFrequency (%)
2 10
 
3.2%
1 276
87.9%
0 28
 
8.9%

Field of study
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.321656051
Minimum0
Maximum2
Zeros217
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:18.841927image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4944184917
Coefficient of variation (CV)1.537103033
Kurtosis-0.09940071252
Mean0.321656051
Median Absolute Deviation (MAD)0
Skewness1.083258688
Sum101
Variance0.2444496449
MonotonicityNot monotonic
2024-01-01T21:26:19.071897image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 217
69.1%
1 93
29.6%
2 4
 
1.3%
ValueCountFrequency (%)
0 217
69.1%
1 93
29.6%
2 4
 
1.3%
ValueCountFrequency (%)
2 4
 
1.3%
1 93
29.6%
0 217
69.1%
Distinct90
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:19.664265image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length52
Median length42
Mean length15.3343949
Min length2

Characters and Unicode

Total characters4815
Distinct characters53
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)19.7%

Sample

1st rowUm
2nd rowUM
3rd rowUM
4th rowEducation
5th rowUniversity of Malaya
ValueCountFrequency (%)
university 134
18.7%
malaya 130
18.2%
of 86
12.0%
uitm 78
10.9%
universiti 39
 
5.4%
um 31
 
4.3%
shah 19
 
2.7%
alam 19
 
2.7%
asia 14
 
2.0%
pacific 14
 
2.0%
Other values (58) 152
21.2%
2024-01-01T21:26:20.502400image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 559
 
11.6%
i 535
 
11.1%
431
 
9.0%
U 301
 
6.3%
y 270
 
5.6%
M 253
 
5.3%
n 250
 
5.2%
t 229
 
4.8%
e 227
 
4.7%
s 219
 
4.5%
Other values (43) 1541
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3352
69.6%
Uppercase Letter 1015
 
21.1%
Space Separator 431
 
9.0%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Decimal Number 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 559
16.7%
i 535
16.0%
y 270
8.1%
n 250
7.5%
t 229
6.8%
e 227
6.8%
s 219
 
6.5%
l 203
 
6.1%
r 200
 
6.0%
v 166
 
5.0%
Other values (13) 494
14.7%
Uppercase Letter
ValueCountFrequency (%)
U 301
29.7%
M 253
24.9%
I 94
 
9.3%
T 92
 
9.1%
A 76
 
7.5%
S 33
 
3.3%
P 28
 
2.8%
N 20
 
2.0%
E 15
 
1.5%
B 13
 
1.3%
Other values (12) 90
 
8.9%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
9 1
25.0%
0 1
25.0%
5 1
25.0%
Space Separator
ValueCountFrequency (%)
431
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4367
90.7%
Common 448
 
9.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 559
12.8%
i 535
12.3%
U 301
 
6.9%
y 270
 
6.2%
M 253
 
5.8%
n 250
 
5.7%
t 229
 
5.2%
e 227
 
5.2%
s 219
 
5.0%
l 203
 
4.6%
Other values (35) 1321
30.2%
Common
ValueCountFrequency (%)
431
96.2%
) 6
 
1.3%
( 6
 
1.3%
1 1
 
0.2%
9 1
 
0.2%
0 1
 
0.2%
5 1
 
0.2%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4815
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 559
 
11.6%
i 535
 
11.1%
431
 
9.0%
U 301
 
6.3%
y 270
 
5.6%
M 253
 
5.3%
n 250
 
5.2%
t 229
 
4.8%
e 227
 
4.7%
s 219
 
4.5%
Other values (43) 1541
32.0%
Distinct34
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:20.956112image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length11
Median length8
Mean length7.984076433
Min length2

Characters and Unicode

Total characters2507
Distinct characters38
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)6.1%

Sample

1st rowMalaysia
2nd rowMalaysia
3rd rowMalaysia
4th rowMalaysia
5th rowShah Alam
ValueCountFrequency (%)
malaysia 270
85.7%
selangor 7
 
2.2%
bangladesh 5
 
1.6%
kedah 4
 
1.3%
johor 4
 
1.3%
china 3
 
1.0%
kelantan 3
 
1.0%
india 2
 
0.6%
indonesia 2
 
0.6%
terengganu 2
 
0.6%
Other values (12) 13
 
4.1%
2024-01-01T21:26:21.602934image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 815
32.5%
l 273
 
10.9%
s 269
 
10.7%
i 266
 
10.6%
M 263
 
10.5%
y 259
 
10.3%
A 45
 
1.8%
42
 
1.7%
n 33
 
1.3%
e 28
 
1.1%
Other values (28) 214
 
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2056
82.0%
Uppercase Letter 408
 
16.3%
Space Separator 42
 
1.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 815
39.6%
l 273
 
13.3%
s 269
 
13.1%
i 266
 
12.9%
y 259
 
12.6%
n 33
 
1.6%
e 28
 
1.4%
g 20
 
1.0%
h 19
 
0.9%
o 18
 
0.9%
Other values (9) 56
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
M 263
64.5%
A 45
 
11.0%
S 21
 
5.1%
I 18
 
4.4%
Y 15
 
3.7%
L 14
 
3.4%
K 7
 
1.7%
B 5
 
1.2%
J 4
 
1.0%
N 4
 
1.0%
Other values (7) 12
 
2.9%
Space Separator
ValueCountFrequency (%)
42
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2464
98.3%
Common 43
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 815
33.1%
l 273
 
11.1%
s 269
 
10.9%
i 266
 
10.8%
M 263
 
10.7%
y 259
 
10.5%
A 45
 
1.8%
n 33
 
1.3%
e 28
 
1.1%
S 21
 
0.9%
Other values (26) 192
 
7.8%
Common
ValueCountFrequency (%)
42
97.7%
' 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2507
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 815
32.5%
l 273
 
10.9%
s 269
 
10.7%
i 266
 
10.6%
M 263
 
10.5%
y 259
 
10.3%
A 45
 
1.8%
42
 
1.7%
n 33
 
1.3%
e 28
 
1.1%
Other values (28) 214
 
8.5%

Household Income
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8503184713
Minimum0
Maximum2
Zeros158
Zeros (%)50.3%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:21.794274image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9148490477
Coefficient of variation (CV)1.075889891
Kurtosis-1.743228467
Mean0.8503184713
Median Absolute Deviation (MAD)0
Skewness0.30103888
Sum267
Variance0.83694878
MonotonicityNot monotonic
2024-01-01T21:26:21.992708image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 158
50.3%
2 111
35.4%
1 45
 
14.3%
ValueCountFrequency (%)
0 158
50.3%
1 45
 
14.3%
2 111
35.4%
ValueCountFrequency (%)
2 111
35.4%
1 45
 
14.3%
0 158
50.3%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.312101911
Minimum0
Maximum4
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:22.216712image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8598499251
Coefficient of variation (CV)0.2596085351
Kurtosis1.359784163
Mean3.312101911
Median Absolute Deviation (MAD)0
Skewness-1.316145094
Sum1040
Variance0.7393418937
MonotonicityNot monotonic
2024-01-01T21:26:22.406615image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 159
50.6%
3 114
36.3%
2 22
 
7.0%
1 18
 
5.7%
0 1
 
0.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 18
 
5.7%
2 22
 
7.0%
3 114
36.3%
4 159
50.6%
ValueCountFrequency (%)
4 159
50.6%
3 114
36.3%
2 22
 
7.0%
1 18
 
5.7%
0 1
 
0.3%

Learning Objects [Book]
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.525477707
Minimum0
Maximum4
Zeros15
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:22.634041image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.136521483
Coefficient of variation (CV)0.4500223778
Kurtosis-0.6508718054
Mean2.525477707
Median Absolute Deviation (MAD)1
Skewness-0.5429829948
Sum793
Variance1.291681081
MonotonicityNot monotonic
2024-01-01T21:26:22.831285image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 133
42.4%
4 60
19.1%
1 58
18.5%
2 48
 
15.3%
0 15
 
4.8%
ValueCountFrequency (%)
0 15
 
4.8%
1 58
18.5%
2 48
 
15.3%
3 133
42.4%
4 60
19.1%
ValueCountFrequency (%)
4 60
19.1%
3 133
42.4%
2 48
 
15.3%
1 58
18.5%
0 15
 
4.8%
Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.49044586
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:23.037223image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.742311685
Coefficient of variation (CV)0.2126695886
Kurtosis1.684739831
Mean3.49044586
Median Absolute Deviation (MAD)0
Skewness-1.452742196
Sum1096
Variance0.5510266376
MonotonicityNot monotonic
2024-01-01T21:26:23.234947image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 193
61.5%
3 90
28.7%
2 23
 
7.3%
1 8
 
2.5%
ValueCountFrequency (%)
1 8
 
2.5%
2 23
 
7.3%
3 90
28.7%
4 193
61.5%
ValueCountFrequency (%)
4 193
61.5%
3 90
28.7%
2 23
 
7.3%
1 8
 
2.5%

Learning Objects [Educational game]
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.812101911
Minimum0
Maximum4
Zeros16
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:23.456153image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.65
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.171975766
Coefficient of variation (CV)0.4167614843
Kurtosis-0.3066523462
Mean2.812101911
Median Absolute Deviation (MAD)1
Skewness-0.756186521
Sum883
Variance1.373527197
MonotonicityNot monotonic
2024-01-01T21:26:23.653160image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 113
36.0%
3 91
29.0%
2 64
20.4%
1 30
 
9.6%
0 16
 
5.1%
ValueCountFrequency (%)
0 16
 
5.1%
1 30
 
9.6%
2 64
20.4%
3 91
29.0%
4 113
36.0%
ValueCountFrequency (%)
4 113
36.0%
3 91
29.0%
2 64
20.4%
1 30
 
9.6%
0 16
 
5.1%

Learning Objects [Video]
Real number (ℝ)

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.347133758
Minimum0
Maximum4
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:23.877423image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8056557672
Coefficient of variation (CV)0.2407002007
Kurtosis2.133530105
Mean3.347133758
Median Absolute Deviation (MAD)0
Skewness-1.338619513
Sum1051
Variance0.6490812153
MonotonicityNot monotonic
2024-01-01T21:26:24.053258image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 161
51.3%
3 112
35.7%
2 33
 
10.5%
1 5
 
1.6%
0 3
 
1.0%
ValueCountFrequency (%)
0 3
 
1.0%
1 5
 
1.6%
2 33
 
10.5%
3 112
35.7%
4 161
51.3%
ValueCountFrequency (%)
4 161
51.3%
3 112
35.7%
2 33
 
10.5%
1 5
 
1.6%
0 3
 
1.0%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.761146497
Minimum0
Maximum4
Zeros16
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:24.258380image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.65
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.197822822
Coefficient of variation (CV)0.4338135709
Kurtosis-0.4969685627
Mean2.761146497
Median Absolute Deviation (MAD)1
Skewness-0.7201580745
Sum867
Variance1.434779512
MonotonicityNot monotonic
2024-01-01T21:26:24.439008image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 106
33.8%
3 101
32.2%
2 49
15.6%
1 42
 
13.4%
0 16
 
5.1%
ValueCountFrequency (%)
0 16
 
5.1%
1 42
 
13.4%
2 49
15.6%
3 101
32.2%
4 106
33.8%
ValueCountFrequency (%)
4 106
33.8%
3 101
32.2%
2 49
15.6%
1 42
 
13.4%
0 16
 
5.1%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3
Minimum0
Maximum4
Zeros5
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:24.634680image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.011120278
Coefficient of variation (CV)0.3370400928
Kurtosis0.06190396596
Mean3
Median Absolute Deviation (MAD)1
Skewness-0.8584822842
Sum942
Variance1.022364217
MonotonicityNot monotonic
2024-01-01T21:26:25.068025image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 119
37.9%
3 112
35.7%
2 52
16.6%
1 26
 
8.3%
0 5
 
1.6%
ValueCountFrequency (%)
0 5
 
1.6%
1 26
 
8.3%
2 52
16.6%
3 112
35.7%
4 119
37.9%
ValueCountFrequency (%)
4 119
37.9%
3 112
35.7%
2 52
16.6%
1 26
 
8.3%
0 5
 
1.6%

Learning Objects [Real object model]
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.984076433
Minimum0
Maximum4
Zeros8
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:25.275808image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.046705439
Coefficient of variation (CV)0.3507636155
Kurtosis0.1883567365
Mean2.984076433
Median Absolute Deviation (MAD)1
Skewness-0.9101831305
Sum937
Variance1.095592275
MonotonicityNot monotonic
2024-01-01T21:26:25.501539image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 121
38.5%
3 107
34.1%
2 54
17.2%
1 24
 
7.6%
0 8
 
2.5%
ValueCountFrequency (%)
0 8
 
2.5%
1 24
 
7.6%
2 54
17.2%
3 107
34.1%
4 121
38.5%
ValueCountFrequency (%)
4 121
38.5%
3 107
34.1%
2 54
17.2%
1 24
 
7.6%
0 8
 
2.5%

Learning Objects [Mind Map]
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.792993631
Minimum0
Maximum4
Zeros11
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:25.701012image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.115594636
Coefficient of variation (CV)0.3994261298
Kurtosis-0.3574577229
Mean2.792993631
Median Absolute Deviation (MAD)1
Skewness-0.6815563112
Sum877
Variance1.244551393
MonotonicityNot monotonic
2024-01-01T21:26:25.872642image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 104
33.1%
4 101
32.2%
2 63
20.1%
1 35
 
11.1%
0 11
 
3.5%
ValueCountFrequency (%)
0 11
 
3.5%
1 35
 
11.1%
2 63
20.1%
3 104
33.1%
4 101
32.2%
ValueCountFrequency (%)
4 101
32.2%
3 104
33.1%
2 63
20.1%
1 35
 
11.1%
0 11
 
3.5%

Learning Objects [Multimedia content]
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.133757962
Minimum0
Maximum4
Zeros7
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:26.044892image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9328614908
Coefficient of variation (CV)0.2976814107
Kurtosis1.535842475
Mean3.133757962
Median Absolute Deviation (MAD)1
Skewness-1.220119134
Sum984
Variance0.870230561
MonotonicityNot monotonic
2024-01-01T21:26:26.246162image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 128
40.8%
4 127
40.4%
2 40
 
12.7%
1 12
 
3.8%
0 7
 
2.2%
ValueCountFrequency (%)
0 7
 
2.2%
1 12
 
3.8%
2 40
 
12.7%
3 128
40.8%
4 127
40.4%
ValueCountFrequency (%)
4 127
40.4%
3 128
40.8%
2 40
 
12.7%
1 12
 
3.8%
0 7
 
2.2%

Learning Objects [Interactive Tool]
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.165605096
Minimum0
Maximum4
Zeros6
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:26.456549image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9615425158
Coefficient of variation (CV)0.3037468309
Kurtosis1.02056205
Mean3.165605096
Median Absolute Deviation (MAD)1
Skewness-1.161713638
Sum994
Variance0.9245640097
MonotonicityNot monotonic
2024-01-01T21:26:26.624993image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 143
45.5%
3 106
33.8%
2 45
 
14.3%
1 14
 
4.5%
0 6
 
1.9%
ValueCountFrequency (%)
0 6
 
1.9%
1 14
 
4.5%
2 45
 
14.3%
3 106
33.8%
4 143
45.5%
ValueCountFrequency (%)
4 143
45.5%
3 106
33.8%
2 45
 
14.3%
1 14
 
4.5%
0 6
 
1.9%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.146496815
Minimum0
Maximum4
Zeros7
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:26.873259image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.967954839
Coefficient of variation (CV)0.3076293719
Kurtosis1.109013957
Mean3.146496815
Median Absolute Deviation (MAD)1
Skewness-1.169531157
Sum988
Variance0.9369365703
MonotonicityNot monotonic
2024-01-01T21:26:27.075540image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 139
44.3%
3 109
34.7%
2 46
 
14.6%
1 13
 
4.1%
0 7
 
2.2%
ValueCountFrequency (%)
0 7
 
2.2%
1 13
 
4.1%
2 46
 
14.6%
3 109
34.7%
4 139
44.3%
ValueCountFrequency (%)
4 139
44.3%
3 109
34.7%
2 46
 
14.6%
1 13
 
4.1%
0 7
 
2.2%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.121019108
Minimum0
Maximum4
Zeros7
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:27.280492image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9515436826
Coefficient of variation (CV)0.3048823636
Kurtosis1.118278484
Mean3.121019108
Median Absolute Deviation (MAD)1
Skewness-1.117545292
Sum980
Variance0.9054353798
MonotonicityNot monotonic
2024-01-01T21:26:27.454893image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 131
41.7%
3 115
36.6%
2 50
 
15.9%
1 11
 
3.5%
0 7
 
2.2%
ValueCountFrequency (%)
0 7
 
2.2%
1 11
 
3.5%
2 50
 
15.9%
3 115
36.6%
4 131
41.7%
ValueCountFrequency (%)
4 131
41.7%
3 115
36.6%
2 50
 
15.9%
1 11
 
3.5%
0 7
 
2.2%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.146496815
Minimum0
Maximum4
Zeros6
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:27.654894image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.022527637
Coefficient of variation (CV)0.3249733583
Kurtosis0.752707013
Mean3.146496815
Median Absolute Deviation (MAD)1
Skewness-1.199436985
Sum988
Variance1.045562768
MonotonicityNot monotonic
2024-01-01T21:26:27.859068image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 146
46.5%
3 106
33.8%
2 30
 
9.6%
1 26
 
8.3%
0 6
 
1.9%
ValueCountFrequency (%)
0 6
 
1.9%
1 26
 
8.3%
2 30
 
9.6%
3 106
33.8%
4 146
46.5%
ValueCountFrequency (%)
4 146
46.5%
3 106
33.8%
2 30
 
9.6%
1 26
 
8.3%
0 6
 
1.9%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.984076433
Minimum0
Maximum4
Zeros6
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:28.059485image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.040582876
Coefficient of variation (CV)0.3487118711
Kurtosis0.08802420739
Mean2.984076433
Median Absolute Deviation (MAD)1
Skewness-0.9097671845
Sum937
Variance1.082812723
MonotonicityNot monotonic
2024-01-01T21:26:28.222138image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 118
37.6%
3 116
36.9%
2 43
 
13.7%
1 31
 
9.9%
0 6
 
1.9%
ValueCountFrequency (%)
0 6
 
1.9%
1 31
 
9.9%
2 43
 
13.7%
3 116
36.9%
4 118
37.6%
ValueCountFrequency (%)
4 118
37.6%
3 116
36.9%
2 43
 
13.7%
1 31
 
9.9%
0 6
 
1.9%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.929936306
Minimum0
Maximum4
Zeros13
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:28.413957image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.111166958
Coefficient of variation (CV)0.379246114
Kurtosis0.2190685623
Mean2.929936306
Median Absolute Deviation (MAD)1
Skewness-0.9718222634
Sum920
Variance1.234692009
MonotonicityNot monotonic
2024-01-01T21:26:28.574461image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 117
37.3%
3 111
35.4%
2 46
 
14.6%
1 27
 
8.6%
0 13
 
4.1%
ValueCountFrequency (%)
0 13
 
4.1%
1 27
 
8.6%
2 46
 
14.6%
3 111
35.4%
4 117
37.3%
ValueCountFrequency (%)
4 117
37.3%
3 111
35.4%
2 46
 
14.6%
1 27
 
8.6%
0 13
 
4.1%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.423566879
Minimum0
Maximum4
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:28.771636image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7966896468
Coefficient of variation (CV)0.2327074875
Kurtosis2.439724785
Mean3.423566879
Median Absolute Deviation (MAD)0
Skewness-1.521656386
Sum1075
Variance0.6347143933
MonotonicityNot monotonic
2024-01-01T21:26:28.945414image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 180
57.3%
3 99
31.5%
2 25
 
8.0%
1 8
 
2.5%
0 2
 
0.6%
ValueCountFrequency (%)
0 2
 
0.6%
1 8
 
2.5%
2 25
 
8.0%
3 99
31.5%
4 180
57.3%
ValueCountFrequency (%)
4 180
57.3%
3 99
31.5%
2 25
 
8.0%
1 8
 
2.5%
0 2
 
0.6%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.25477707
Minimum0
Maximum4
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:29.164346image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8858450856
Coefficient of variation (CV)0.2721676682
Kurtosis0.9620127199
Mean3.25477707
Median Absolute Deviation (MAD)1
Skewness-1.132903116
Sum1022
Variance0.7847215156
MonotonicityNot monotonic
2024-01-01T21:26:29.373290image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 154
49.0%
3 102
32.5%
2 45
 
14.3%
1 10
 
3.2%
0 3
 
1.0%
ValueCountFrequency (%)
0 3
 
1.0%
1 10
 
3.2%
2 45
 
14.3%
3 102
32.5%
4 154
49.0%
ValueCountFrequency (%)
4 154
49.0%
3 102
32.5%
2 45
 
14.3%
1 10
 
3.2%
0 3
 
1.0%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.331210191
Minimum0
Maximum4
Zeros6
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:29.561400image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9000428462
Coefficient of variation (CV)0.2701849462
Kurtosis2.582787625
Mean3.331210191
Median Absolute Deviation (MAD)0
Skewness-1.575913868
Sum1046
Variance0.810077125
MonotonicityNot monotonic
2024-01-01T21:26:29.785285image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 169
53.8%
3 101
32.2%
2 29
 
9.2%
1 9
 
2.9%
0 6
 
1.9%
ValueCountFrequency (%)
0 6
 
1.9%
1 9
 
2.9%
2 29
 
9.2%
3 101
32.2%
4 169
53.8%
ValueCountFrequency (%)
4 169
53.8%
3 101
32.2%
2 29
 
9.2%
1 9
 
2.9%
0 6
 
1.9%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5605095541
Minimum0
Maximum1
Zeros138
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:29.991586image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4971173082
Coefficient of variation (CV)0.8869024703
Kurtosis-1.952450831
Mean0.5605095541
Median Absolute Deviation (MAD)0
Skewness-0.2450022757
Sum176
Variance0.2471256181
MonotonicityNot monotonic
2024-01-01T21:26:30.156997image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 176
56.1%
0 138
43.9%
ValueCountFrequency (%)
0 138
43.9%
1 176
56.1%
ValueCountFrequency (%)
1 176
56.1%
0 138
43.9%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.738853503
Minimum0
Maximum4
Zeros14
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:30.346170image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.102692011
Coefficient of variation (CV)0.4026108041
Kurtosis-0.1660279244
Mean2.738853503
Median Absolute Deviation (MAD)1
Skewness-0.6912336356
Sum860
Variance1.215929672
MonotonicityNot monotonic
2024-01-01T21:26:30.573381image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 111
35.4%
4 89
28.3%
2 71
22.6%
1 29
 
9.2%
0 14
 
4.5%
ValueCountFrequency (%)
0 14
 
4.5%
1 29
 
9.2%
2 71
22.6%
3 111
35.4%
4 89
28.3%
ValueCountFrequency (%)
4 89
28.3%
3 111
35.4%
2 71
22.6%
1 29
 
9.2%
0 14
 
4.5%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.78343949
Minimum0
Maximum4
Zeros10
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:30.786989image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.074350811
Coefficient of variation (CV)0.3859795821
Kurtosis-0.1331170354
Mean2.78343949
Median Absolute Deviation (MAD)1
Skewness-0.7573922465
Sum874
Variance1.154229666
MonotonicityNot monotonic
2024-01-01T21:26:31.008256image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 129
41.1%
4 87
27.7%
2 51
 
16.2%
1 37
 
11.8%
0 10
 
3.2%
ValueCountFrequency (%)
0 10
 
3.2%
1 37
 
11.8%
2 51
 
16.2%
3 129
41.1%
4 87
27.7%
ValueCountFrequency (%)
4 87
27.7%
3 129
41.1%
2 51
 
16.2%
1 37
 
11.8%
0 10
 
3.2%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.27388535
Minimum0
Maximum4
Zeros22
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:31.199140image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.08496236
Coefficient of variation (CV)0.4771403095
Kurtosis-0.507366733
Mean2.27388535
Median Absolute Deviation (MAD)1
Skewness-0.350416927
Sum714
Variance1.177143322
MonotonicityNot monotonic
2024-01-01T21:26:31.411260image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 109
34.7%
2 96
30.6%
1 51
16.2%
4 36
 
11.5%
0 22
 
7.0%
ValueCountFrequency (%)
0 22
 
7.0%
1 51
16.2%
2 96
30.6%
3 109
34.7%
4 36
 
11.5%
ValueCountFrequency (%)
4 36
 
11.5%
3 109
34.7%
2 96
30.6%
1 51
16.2%
0 22
 
7.0%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5541401274
Minimum0
Maximum1
Zeros140
Zeros (%)44.6%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:31.581832image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4978535969
Coefficient of variation (CV)0.8984254565
Kurtosis-1.964642486
Mean0.5541401274
Median Absolute Deviation (MAD)0
Skewness-0.2188883633
Sum174
Variance0.2478582039
MonotonicityNot monotonic
2024-01-01T21:26:31.736070image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 174
55.4%
0 140
44.6%
ValueCountFrequency (%)
0 140
44.6%
1 174
55.4%
ValueCountFrequency (%)
1 174
55.4%
0 140
44.6%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.824840764
Minimum0
Maximum4
Zeros14
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:31.976969image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.143625536
Coefficient of variation (CV)0.4048460185
Kurtosis-0.2580538862
Mean2.824840764
Median Absolute Deviation (MAD)1
Skewness-0.7485272343
Sum887
Variance1.307879368
MonotonicityNot monotonic
2024-01-01T21:26:32.175791image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 111
35.4%
3 94
29.9%
2 66
21.0%
1 29
 
9.2%
0 14
 
4.5%
ValueCountFrequency (%)
0 14
 
4.5%
1 29
 
9.2%
2 66
21.0%
3 94
29.9%
4 111
35.4%
ValueCountFrequency (%)
4 111
35.4%
3 94
29.9%
2 66
21.0%
1 29
 
9.2%
0 14
 
4.5%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.168789809
Minimum0
Maximum4
Zeros26
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:32.404453image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.11632404
Coefficient of variation (CV)0.5147220976
Kurtosis-0.6505457181
Mean2.168789809
Median Absolute Deviation (MAD)1
Skewness-0.1988230359
Sum681
Variance1.246179361
MonotonicityNot monotonic
2024-01-01T21:26:32.588323image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 101
32.2%
3 92
29.3%
1 59
18.8%
4 36
 
11.5%
0 26
 
8.3%
ValueCountFrequency (%)
0 26
 
8.3%
1 59
18.8%
2 101
32.2%
3 92
29.3%
4 36
 
11.5%
ValueCountFrequency (%)
4 36
 
11.5%
3 92
29.3%
2 101
32.2%
1 59
18.8%
0 26
 
8.3%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.025477707
Minimum0
Maximum4
Zeros8
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:32.806971image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.004456807
Coefficient of variation (CV)0.3319994078
Kurtosis0.6553504666
Mean3.025477707
Median Absolute Deviation (MAD)1
Skewness-1.022080061
Sum950
Variance1.008933477
MonotonicityNot monotonic
2024-01-01T21:26:33.002951image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 119
37.9%
4 119
37.9%
2 49
15.6%
1 19
 
6.1%
0 8
 
2.5%
ValueCountFrequency (%)
0 8
 
2.5%
1 19
 
6.1%
2 49
15.6%
3 119
37.9%
4 119
37.9%
ValueCountFrequency (%)
4 119
37.9%
3 119
37.9%
2 49
15.6%
1 19
 
6.1%
0 8
 
2.5%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.611464968
Minimum0
Maximum4
Zeros11
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:33.220697image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.027728545
Coefficient of variation (CV)0.3935448331
Kurtosis-0.1467726235
Mean2.611464968
Median Absolute Deviation (MAD)1
Skewness-0.5871872776
Sum820
Variance1.056225962
MonotonicityNot monotonic
2024-01-01T21:26:33.408961image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 132
42.0%
2 76
24.2%
4 59
18.8%
1 36
 
11.5%
0 11
 
3.5%
ValueCountFrequency (%)
0 11
 
3.5%
1 36
 
11.5%
2 76
24.2%
3 132
42.0%
4 59
18.8%
ValueCountFrequency (%)
4 59
18.8%
3 132
42.0%
2 76
24.2%
1 36
 
11.5%
0 11
 
3.5%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.656050955
Minimum0
Maximum4
Zeros13
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:33.588293image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.073725566
Coefficient of variation (CV)0.4042563883
Kurtosis-0.1767541182
Mean2.656050955
Median Absolute Deviation (MAD)1
Skewness-0.6672329473
Sum834
Variance1.152886592
MonotonicityNot monotonic
2024-01-01T21:26:33.762509image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 131
41.7%
4 69
22.0%
2 64
20.4%
1 37
 
11.8%
0 13
 
4.1%
ValueCountFrequency (%)
0 13
 
4.1%
1 37
 
11.8%
2 64
20.4%
3 131
41.7%
4 69
22.0%
ValueCountFrequency (%)
4 69
22.0%
3 131
41.7%
2 64
20.4%
1 37
 
11.8%
0 13
 
4.1%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.729299363
Minimum0
Maximum4
Zeros13
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:33.974314image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.057440466
Coefficient of variation (CV)0.3874402639
Kurtosis0.1049040213
Mean2.729299363
Median Absolute Deviation (MAD)1
Skewness-0.7792078743
Sum857
Variance1.118180338
MonotonicityNot monotonic
2024-01-01T21:26:34.162727image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 135
43.0%
4 75
23.9%
2 61
19.4%
1 30
 
9.6%
0 13
 
4.1%
ValueCountFrequency (%)
0 13
 
4.1%
1 30
 
9.6%
2 61
19.4%
3 135
43.0%
4 75
23.9%
ValueCountFrequency (%)
4 75
23.9%
3 135
43.0%
2 61
19.4%
1 30
 
9.6%
0 13
 
4.1%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.012738854
Minimum0
Maximum4
Zeros39
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:34.358822image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.172023515
Coefficient of variation (CV)0.5823028224
Kurtosis-0.8121997658
Mean2.012738854
Median Absolute Deviation (MAD)1
Skewness-0.1087112823
Sum632
Variance1.37363912
MonotonicityNot monotonic
2024-01-01T21:26:34.550849image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 97
30.9%
3 82
26.1%
1 64
20.4%
0 39
12.4%
4 32
 
10.2%
ValueCountFrequency (%)
0 39
12.4%
1 64
20.4%
2 97
30.9%
3 82
26.1%
4 32
 
10.2%
ValueCountFrequency (%)
4 32
 
10.2%
3 82
26.1%
2 97
30.9%
1 64
20.4%
0 39
12.4%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.907643312
Minimum0
Maximum4
Zeros46
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:34.774053image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.175252887
Coefficient of variation (CV)0.6160758039
Kurtosis-0.7947360939
Mean1.907643312
Median Absolute Deviation (MAD)1
Skewness-0.02172769226
Sum599
Variance1.381219348
MonotonicityNot monotonic
2024-01-01T21:26:34.966889image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 104
33.1%
3 70
22.3%
1 65
20.7%
0 46
14.6%
4 29
 
9.2%
ValueCountFrequency (%)
0 46
14.6%
1 65
20.7%
2 104
33.1%
3 70
22.3%
4 29
 
9.2%
ValueCountFrequency (%)
4 29
 
9.2%
3 70
22.3%
2 104
33.1%
1 65
20.7%
0 46
14.6%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.843949045
Minimum0
Maximum4
Zeros11
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:35.168881image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.016404587
Coefficient of variation (CV)0.3573919825
Kurtosis0.4009684799
Mean2.843949045
Median Absolute Deviation (MAD)1
Skewness-0.8219747955
Sum893
Variance1.033078285
MonotonicityNot monotonic
2024-01-01T21:26:35.339061image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 125
39.8%
4 90
28.7%
2 70
22.3%
1 18
 
5.7%
0 11
 
3.5%
ValueCountFrequency (%)
0 11
 
3.5%
1 18
 
5.7%
2 70
22.3%
3 125
39.8%
4 90
28.7%
ValueCountFrequency (%)
4 90
28.7%
3 125
39.8%
2 70
22.3%
1 18
 
5.7%
0 11
 
3.5%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.914012739
Minimum0
Maximum4
Zeros7
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:35.538881image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9898499966
Coefficient of variation (CV)0.3396862283
Kurtosis0.3905204467
Mean2.914012739
Median Absolute Deviation (MAD)1
Skewness-0.8808384314
Sum915
Variance0.9798030158
MonotonicityNot monotonic
2024-01-01T21:26:35.704017image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 136
43.3%
4 95
30.3%
2 51
 
16.2%
1 25
 
8.0%
0 7
 
2.2%
ValueCountFrequency (%)
0 7
 
2.2%
1 25
 
8.0%
2 51
 
16.2%
3 136
43.3%
4 95
30.3%
ValueCountFrequency (%)
4 95
30.3%
3 136
43.3%
2 51
 
16.2%
1 25
 
8.0%
0 7
 
2.2%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.477707006
Minimum0
Maximum4
Zeros13
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:35.927511image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.024217849
Coefficient of variation (CV)0.4133732705
Kurtosis-0.2469067748
Mean2.477707006
Median Absolute Deviation (MAD)1
Skewness-0.5230742647
Sum778
Variance1.049022201
MonotonicityNot monotonic
2024-01-01T21:26:36.104378image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 133
42.4%
2 82
26.1%
4 43
 
13.7%
1 43
 
13.7%
0 13
 
4.1%
ValueCountFrequency (%)
0 13
 
4.1%
1 43
 
13.7%
2 82
26.1%
3 133
42.4%
4 43
 
13.7%
ValueCountFrequency (%)
4 43
 
13.7%
3 133
42.4%
2 82
26.1%
1 43
 
13.7%
0 13
 
4.1%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.73566879
Minimum0
Maximum4
Zeros10
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:36.303295image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.071054703
Coefficient of variation (CV)0.3915147577
Kurtosis-0.3036081142
Mean2.73566879
Median Absolute Deviation (MAD)1
Skewness-0.6031237242
Sum859
Variance1.147158177
MonotonicityNot monotonic
2024-01-01T21:26:36.489223image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 112
35.7%
4 86
27.4%
2 73
23.2%
1 33
 
10.5%
0 10
 
3.2%
ValueCountFrequency (%)
0 10
 
3.2%
1 33
 
10.5%
2 73
23.2%
3 112
35.7%
4 86
27.4%
ValueCountFrequency (%)
4 86
27.4%
3 112
35.7%
2 73
23.2%
1 33
 
10.5%
0 10
 
3.2%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.404458599
Minimum0
Maximum4
Zeros21
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:36.701629image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.09840686
Coefficient of variation (CV)0.4568208661
Kurtosis-0.3719236825
Mean2.404458599
Median Absolute Deviation (MAD)1
Skewness-0.4464045065
Sum755
Variance1.206497629
MonotonicityNot monotonic
2024-01-01T21:26:36.951299image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 110
35.0%
2 95
30.3%
4 49
15.6%
1 39
 
12.4%
0 21
 
6.7%
ValueCountFrequency (%)
0 21
 
6.7%
1 39
 
12.4%
2 95
30.3%
3 110
35.0%
4 49
15.6%
ValueCountFrequency (%)
4 49
15.6%
3 110
35.0%
2 95
30.3%
1 39
 
12.4%
0 21
 
6.7%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.544585987
Minimum0
Maximum4
Zeros13
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:37.213356image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.038978049
Coefficient of variation (CV)0.408309271
Kurtosis-0.2071809653
Mean2.544585987
Median Absolute Deviation (MAD)1
Skewness-0.5152421852
Sum799
Variance1.079475387
MonotonicityNot monotonic
2024-01-01T21:26:37.448382image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 123
39.2%
2 87
27.7%
4 55
17.5%
1 36
 
11.5%
0 13
 
4.1%
ValueCountFrequency (%)
0 13
 
4.1%
1 36
 
11.5%
2 87
27.7%
3 123
39.2%
4 55
17.5%
ValueCountFrequency (%)
4 55
17.5%
3 123
39.2%
2 87
27.7%
1 36
 
11.5%
0 13
 
4.1%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.035031847
Minimum0
Maximum4
Zeros6
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:37.753713image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.884034192
Coefficient of variation (CV)0.2912767432
Kurtosis1.511532822
Mean3.035031847
Median Absolute Deviation (MAD)1
Skewness-1.073770388
Sum953
Variance0.7815164527
MonotonicityNot monotonic
2024-01-01T21:26:38.024529image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 153
48.7%
4 98
31.2%
2 45
 
14.3%
1 12
 
3.8%
0 6
 
1.9%
ValueCountFrequency (%)
0 6
 
1.9%
1 12
 
3.8%
2 45
 
14.3%
3 153
48.7%
4 98
31.2%
ValueCountFrequency (%)
4 98
31.2%
3 153
48.7%
2 45
 
14.3%
1 12
 
3.8%
0 6
 
1.9%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.843949045
Minimum0
Maximum4
Zeros13
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:38.325564image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9941578599
Coefficient of variation (CV)0.3495695051
Kurtosis0.9625813636
Mean2.843949045
Median Absolute Deviation (MAD)1
Skewness-0.9980192375
Sum893
Variance0.9883498504
MonotonicityNot monotonic
2024-01-01T21:26:38.552541image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 146
46.5%
4 80
25.5%
2 60
19.1%
1 15
 
4.8%
0 13
 
4.1%
ValueCountFrequency (%)
0 13
 
4.1%
1 15
 
4.8%
2 60
19.1%
3 146
46.5%
4 80
25.5%
ValueCountFrequency (%)
4 80
25.5%
3 146
46.5%
2 60
19.1%
1 15
 
4.8%
0 13
 
4.1%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.662420382
Minimum0
Maximum4
Zeros12
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:38.761642image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.027134356
Coefficient of variation (CV)0.3857896984
Kurtosis0.05191428905
Mean2.662420382
Median Absolute Deviation (MAD)1
Skewness-0.6750327009
Sum836
Variance1.055004986
MonotonicityNot monotonic
2024-01-01T21:26:39.040919image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 134
42.7%
2 74
23.6%
4 64
20.4%
1 30
 
9.6%
0 12
 
3.8%
ValueCountFrequency (%)
0 12
 
3.8%
1 30
 
9.6%
2 74
23.6%
3 134
42.7%
4 64
20.4%
ValueCountFrequency (%)
4 64
20.4%
3 134
42.7%
2 74
23.6%
1 30
 
9.6%
0 12
 
3.8%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.512738854
Minimum0
Maximum4
Zeros16
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:39.334988image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.65
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.079061604
Coefficient of variation (CV)0.4294364303
Kurtosis-0.3194956573
Mean2.512738854
Median Absolute Deviation (MAD)1
Skewness-0.4860516847
Sum789
Variance1.164373944
MonotonicityNot monotonic
2024-01-01T21:26:39.621654image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 114
36.3%
2 89
28.3%
4 58
18.5%
1 37
 
11.8%
0 16
 
5.1%
ValueCountFrequency (%)
0 16
 
5.1%
1 37
 
11.8%
2 89
28.3%
3 114
36.3%
4 58
18.5%
ValueCountFrequency (%)
4 58
18.5%
3 114
36.3%
2 89
28.3%
1 37
 
11.8%
0 16
 
5.1%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.52866242
Minimum0
Maximum4
Zeros15
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:39.915421image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.05782047
Coefficient of variation (CV)0.4183320248
Kurtosis-0.2243809195
Mean2.52866242
Median Absolute Deviation (MAD)1
Skewness-0.4831774642
Sum794
Variance1.118984148
MonotonicityNot monotonic
2024-01-01T21:26:40.146201image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 113
36.0%
2 95
30.3%
4 58
18.5%
1 33
 
10.5%
0 15
 
4.8%
ValueCountFrequency (%)
0 15
 
4.8%
1 33
 
10.5%
2 95
30.3%
3 113
36.0%
4 58
18.5%
ValueCountFrequency (%)
4 58
18.5%
3 113
36.0%
2 95
30.3%
1 33
 
10.5%
0 15
 
4.8%
Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.675159236
Minimum0
Maximum4
Zeros16
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:40.473750image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.65
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.094374582
Coefficient of variation (CV)0.4090876413
Kurtosis-0.08132884766
Mean2.675159236
Median Absolute Deviation (MAD)1
Skewness-0.6965153489
Sum840
Variance1.197655725
MonotonicityNot monotonic
2024-01-01T21:26:40.769991image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 121
38.5%
4 76
24.2%
2 72
22.9%
1 29
 
9.2%
0 16
 
5.1%
ValueCountFrequency (%)
0 16
 
5.1%
1 29
 
9.2%
2 72
22.9%
3 121
38.5%
4 76
24.2%
ValueCountFrequency (%)
4 76
24.2%
3 121
38.5%
2 72
22.9%
1 29
 
9.2%
0 16
 
5.1%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5222929936
Minimum0
Maximum1
Zeros150
Zeros (%)47.8%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:41.002487image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5003000667
Coefficient of variation (CV)0.957891591
Kurtosis-2.004765916
Mean0.5222929936
Median Absolute Deviation (MAD)0
Skewness-0.08968976393
Sum164
Variance0.2503001567
MonotonicityNot monotonic
2024-01-01T21:26:41.226030image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 164
52.2%
0 150
47.8%
ValueCountFrequency (%)
0 150
47.8%
1 164
52.2%
ValueCountFrequency (%)
1 164
52.2%
0 150
47.8%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7261146497
Minimum0
Maximum1
Zeros86
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:41.465559image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4466626686
Coefficient of variation (CV)0.6151406927
Kurtosis-0.9679411178
Mean0.7261146497
Median Absolute Deviation (MAD)0
Skewness-1.018952863
Sum228
Variance0.1995075395
MonotonicityNot monotonic
2024-01-01T21:26:41.664165image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 228
72.6%
0 86
 
27.4%
ValueCountFrequency (%)
0 86
 
27.4%
1 228
72.6%
ValueCountFrequency (%)
1 228
72.6%
0 86
 
27.4%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6656050955
Minimum0
Maximum1
Zeros105
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:41.878359image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.472531538
Coefficient of variation (CV)0.7099277652
Kurtosis-1.512054032
Mean0.6656050955
Median Absolute Deviation (MAD)0
Skewness-0.7054202874
Sum209
Variance0.2232860544
MonotonicityNot monotonic
2024-01-01T21:26:42.119686image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 209
66.6%
0 105
33.4%
ValueCountFrequency (%)
0 105
33.4%
1 209
66.6%
ValueCountFrequency (%)
1 209
66.6%
0 105
33.4%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8312101911
Minimum0
Maximum1
Zeros53
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:42.345384image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3751640328
Coefficient of variation (CV)0.4513467675
Kurtosis1.16511125
Mean0.8312101911
Median Absolute Deviation (MAD)0
Skewness-1.777000481
Sum261
Variance0.1407480515
MonotonicityNot monotonic
2024-01-01T21:26:42.536441image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 261
83.1%
0 53
 
16.9%
ValueCountFrequency (%)
0 53
 
16.9%
1 261
83.1%
ValueCountFrequency (%)
1 261
83.1%
0 53
 
16.9%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5573248408
Minimum0
Maximum1
Zeros139
Zeros (%)44.3%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:42.746238image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4974958149
Coefficient of variation (CV)0.8926496336
Kurtosis-1.958725001
Mean0.5573248408
Median Absolute Deviation (MAD)0
Skewness-0.2319308262
Sum175
Variance0.2475020858
MonotonicityNot monotonic
2024-01-01T21:26:42.917453image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 175
55.7%
0 139
44.3%
ValueCountFrequency (%)
0 139
44.3%
1 175
55.7%
ValueCountFrequency (%)
1 175
55.7%
0 139
44.3%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8439490446
Minimum0
Maximum1
Zeros49
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:43.105311image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3634828998
Coefficient of variation (CV)0.4306929455
Kurtosis1.63808466
Mean0.8439490446
Median Absolute Deviation (MAD)0
Skewness-1.904649965
Sum265
Variance0.1321198185
MonotonicityNot monotonic
2024-01-01T21:26:43.277031image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 265
84.4%
0 49
 
15.6%
ValueCountFrequency (%)
0 49
 
15.6%
1 265
84.4%
ValueCountFrequency (%)
1 265
84.4%
0 49
 
15.6%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6464968153
Minimum0
Maximum1
Zeros111
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:43.500616image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4788202571
Coefficient of variation (CV)0.7406382303
Kurtosis-1.631184247
Mean0.6464968153
Median Absolute Deviation (MAD)0
Skewness-0.6158298244
Sum203
Variance0.2292688386
MonotonicityNot monotonic
2024-01-01T21:26:43.692403image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 203
64.6%
0 111
35.4%
ValueCountFrequency (%)
0 111
35.4%
1 203
64.6%
ValueCountFrequency (%)
1 203
64.6%
0 111
35.4%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7356687898
Minimum0
Maximum1
Zeros83
Zeros (%)26.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:43.897460image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4416803145
Coefficient of variation (CV)0.6003793019
Kurtosis-0.8520193246
Mean0.7356687898
Median Absolute Deviation (MAD)0
Skewness-1.073987132
Sum231
Variance0.1950815002
MonotonicityNot monotonic
2024-01-01T21:26:44.121289image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 231
73.6%
0 83
 
26.4%
ValueCountFrequency (%)
0 83
 
26.4%
1 231
73.6%
ValueCountFrequency (%)
1 231
73.6%
0 83
 
26.4%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5286624204
Minimum0
Maximum1
Zeros148
Zeros (%)47.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:44.304303image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4999745623
Coefficient of variation (CV)0.9457350155
Kurtosis-1.999461418
Mean0.5286624204
Median Absolute Deviation (MAD)0
Skewness-0.1153904859
Sum166
Variance0.249974563
MonotonicityNot monotonic
2024-01-01T21:26:44.545235image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 166
52.9%
0 148
47.1%
ValueCountFrequency (%)
0 148
47.1%
1 166
52.9%
ValueCountFrequency (%)
1 166
52.9%
0 148
47.1%
Distinct117
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:45.353662image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length223
Median length129
Mean length20.36942675
Min length1

Characters and Unicode

Total characters6396
Distinct characters39
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)28.7%

Sample

1st rowlive
2nd rowlive lecture
3rd rowlive lecture always
4th rowyoutube video, live lecture
5th rowrecorded demo lecturer
ValueCountFrequency (%)
youtube 142
15.7%
lecture 137
15.1%
live 133
14.7%
video 119
13.1%
recorded 23
 
2.5%
demonstration 20
 
2.2%
learning 15
 
1.7%
debugging 11
 
1.2%
pre-recorded 8
 
0.9%
pre 8
 
0.9%
Other values (179) 289
31.9%
2024-01-01T21:26:46.528317image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1049
16.4%
591
 
9.2%
u 500
 
7.8%
o 482
 
7.5%
t 450
 
7.0%
i 426
 
6.7%
l 381
 
6.0%
r 376
 
5.9%
d 303
 
4.7%
v 270
 
4.2%
Other values (29) 1568
24.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5689
88.9%
Space Separator 591
 
9.2%
Other Punctuation 92
 
1.4%
Dash Punctuation 14
 
0.2%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1049
18.4%
u 500
8.8%
o 482
 
8.5%
t 450
 
7.9%
i 426
 
7.5%
l 381
 
6.7%
r 376
 
6.6%
d 303
 
5.3%
v 270
 
4.7%
c 236
 
4.1%
Other values (16) 1216
21.4%
Other Punctuation
ValueCountFrequency (%)
, 62
67.4%
. 15
 
16.3%
/ 9
 
9.8%
& 3
 
3.3%
' 1
 
1.1%
: 1
 
1.1%
? 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
591
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5689
88.9%
Common 707
 
11.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1049
18.4%
u 500
8.8%
o 482
 
8.5%
t 450
 
7.9%
i 426
 
7.5%
l 381
 
6.7%
r 376
 
6.6%
d 303
 
5.3%
v 270
 
4.7%
c 236
 
4.1%
Other values (16) 1216
21.4%
Common
ValueCountFrequency (%)
591
83.6%
, 62
 
8.8%
. 15
 
2.1%
- 14
 
2.0%
/ 9
 
1.3%
) 4
 
0.6%
( 4
 
0.6%
& 3
 
0.4%
' 1
 
0.1%
: 1
 
0.1%
Other values (3) 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1049
16.4%
591
 
9.2%
u 500
 
7.8%
o 482
 
7.5%
t 450
 
7.0%
i 426
 
6.7%
l 381
 
6.0%
r 376
 
5.9%
d 303
 
4.7%
v 270
 
4.2%
Other values (29) 1568
24.5%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7579617834
Minimum0
Maximum1
Zeros76
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:46.802176image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4290009776
Coefficient of variation (CV)0.5659928864
Kurtosis-0.5385837253
Mean0.7579617834
Median Absolute Deviation (MAD)0
Skewness-1.210325375
Sum238
Variance0.1840418388
MonotonicityNot monotonic
2024-01-01T21:26:46.988844image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 238
75.8%
0 76
 
24.2%
ValueCountFrequency (%)
0 76
 
24.2%
1 238
75.8%
ValueCountFrequency (%)
1 238
75.8%
0 76
 
24.2%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7675159236
Minimum0
Maximum1
Zeros73
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:47.183366image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4230901928
Coefficient of variation (CV)0.5512461433
Kurtosis-0.3827455153
Mean0.7675159236
Median Absolute Deviation (MAD)0
Skewness-1.272687355
Sum241
Variance0.1790053112
MonotonicityNot monotonic
2024-01-01T21:26:47.439086image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 241
76.8%
0 73
 
23.2%
ValueCountFrequency (%)
0 73
 
23.2%
1 241
76.8%
ValueCountFrequency (%)
1 241
76.8%
0 73
 
23.2%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9840764331
Minimum0
Maximum1
Zeros5
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:26:47.657299image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1253797066
Coefficient of variation (CV)0.1274085044
Kurtosis58.76684381
Mean0.9840764331
Median Absolute Deviation (MAD)0
Skewness-7.771265391
Sum309
Variance0.01572007082
MonotonicityNot monotonic
2024-01-01T21:26:47.887511image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 309
98.4%
0 5
 
1.6%
ValueCountFrequency (%)
0 5
 
1.6%
1 309
98.4%
ValueCountFrequency (%)
1 309
98.4%
0 5
 
1.6%
Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.407643312
Minimum0
Maximum2
Zeros49
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:48.112459image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7452118854
Coefficient of variation (CV)0.5294039186
Kurtosis-0.7416280079
Mean1.407643312
Median Absolute Deviation (MAD)0
Skewness-0.822335161
Sum442
Variance0.5553407542
MonotonicityNot monotonic
2024-01-01T21:26:48.322594image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 177
56.4%
1 88
28.0%
0 49
 
15.6%
ValueCountFrequency (%)
0 49
 
15.6%
1 88
28.0%
2 177
56.4%
ValueCountFrequency (%)
2 177
56.4%
1 88
28.0%
0 49
 
15.6%

2. When seeking travel directions I
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.47133758
Minimum0
Maximum2
Zeros81
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:48.543499image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8760972823
Coefficient of variation (CV)0.5954427416
Kurtosis-0.8305106363
Mean1.47133758
Median Absolute Deviation (MAD)0
Skewness-1.073876098
Sum462
Variance0.767546448
MonotonicityNot monotonic
2024-01-01T21:26:48.738836image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 229
72.9%
0 81
 
25.8%
1 4
 
1.3%
ValueCountFrequency (%)
0 81
 
25.8%
1 4
 
1.3%
2 229
72.9%
ValueCountFrequency (%)
2 229
72.9%
1 4
 
1.3%
0 81
 
25.8%

3. When cooking a new dish I
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.070063694
Minimum0
Maximum2
Zeros25
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:48.957020image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4744547862
Coefficient of variation (CV)0.4433892943
Kurtosis1.33697442
Mean1.070063694
Median Absolute Deviation (MAD)0
Skewness0.2132143974
Sum336
Variance0.2251073442
MonotonicityNot monotonic
2024-01-01T21:26:49.177496image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 242
77.1%
2 47
 
15.0%
0 25
 
8.0%
ValueCountFrequency (%)
0 25
 
8.0%
1 242
77.1%
2 47
 
15.0%
ValueCountFrequency (%)
2 47
 
15.0%
1 242
77.1%
0 25
 
8.0%

4. To teach someone something I
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6656050955
Minimum0
Maximum2
Zeros146
Zeros (%)46.5%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:49.408911image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6966109998
Coefficient of variation (CV)1.046583033
Kurtosis-0.8128965915
Mean0.6656050955
Median Absolute Deviation (MAD)1
Skewness0.5622705218
Sum209
Variance0.4852668851
MonotonicityNot monotonic
2024-01-01T21:26:49.582339image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 146
46.5%
1 127
40.4%
2 41
 
13.1%
ValueCountFrequency (%)
0 146
46.5%
1 127
40.4%
2 41
 
13.1%
ValueCountFrequency (%)
2 41
 
13.1%
1 127
40.4%
0 146
46.5%

5. I tend to say
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.356687898
Minimum0
Maximum2
Zeros39
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:49.805161image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6923843035
Coefficient of variation (CV)0.5103489936
Kurtosis-0.7617383402
Mean1.356687898
Median Absolute Deviation (MAD)1
Skewness-0.6084732891
Sum426
Variance0.4793960237
MonotonicityNot monotonic
2024-01-01T21:26:50.006400image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 151
48.1%
1 124
39.5%
0 39
 
12.4%
ValueCountFrequency (%)
0 39
 
12.4%
1 124
39.5%
2 151
48.1%
ValueCountFrequency (%)
2 151
48.1%
1 124
39.5%
0 39
 
12.4%

6. I tend to say
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7738853503
Minimum0
Maximum2
Zeros133
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:50.232622image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7561164013
Coefficient of variation (CV)0.9770393005
Kurtosis-1.154369479
Mean0.7738853503
Median Absolute Deviation (MAD)1
Skewness0.4017857576
Sum243
Variance0.5717120124
MonotonicityNot monotonic
2024-01-01T21:26:50.433965image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 133
42.4%
1 119
37.9%
2 62
19.7%
ValueCountFrequency (%)
0 133
42.4%
1 119
37.9%
2 62
19.7%
ValueCountFrequency (%)
2 62
19.7%
1 119
37.9%
0 133
42.4%

7. I tend to say
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8057324841
Minimum0
Maximum2
Zeros129
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:50.633865image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7691115191
Coefficient of variation (CV)0.9545494743
Kurtosis-1.233912577
Mean0.8057324841
Median Absolute Deviation (MAD)1
Skewness0.3477739543
Sum253
Variance0.5915325288
MonotonicityNot monotonic
2024-01-01T21:26:50.801894image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 129
41.1%
1 117
37.3%
2 68
21.7%
ValueCountFrequency (%)
0 129
41.1%
1 117
37.3%
2 68
21.7%
ValueCountFrequency (%)
2 68
21.7%
1 117
37.3%
0 129
41.1%
Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9522292994
Minimum0
Maximum2
Zeros109
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:50.981354image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8039110458
Coefficient of variation (CV)0.8442410314
Kurtosis-1.446815385
Mean0.9522292994
Median Absolute Deviation (MAD)1
Skewness0.08679114049
Sum299
Variance0.6462729696
MonotonicityNot monotonic
2024-01-01T21:26:51.158158image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 111
35.4%
0 109
34.7%
2 94
29.9%
ValueCountFrequency (%)
0 109
34.7%
1 111
35.4%
2 94
29.9%
ValueCountFrequency (%)
2 94
29.9%
1 111
35.4%
0 109
34.7%

9. I prefer these leisure activities
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.343949045
Minimum0
Maximum2
Zeros35
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:51.744115image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6708287354
Coefficient of variation (CV)0.4991474477
Kurtosis-0.7360928458
Mean1.343949045
Median Absolute Deviation (MAD)1
Skewness-0.5337898193
Sum422
Variance0.4500111923
MonotonicityNot monotonic
2024-01-01T21:26:51.971595image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 143
45.5%
1 136
43.3%
0 35
 
11.1%
ValueCountFrequency (%)
0 35
 
11.1%
1 136
43.3%
2 143
45.5%
ValueCountFrequency (%)
2 143
45.5%
1 136
43.3%
0 35
 
11.1%

10. When shopping generally I tend to
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.328025478
Minimum0
Maximum2
Zeros12
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:52.160363image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5457163297
Coefficient of variation (CV)0.4109230876
Kurtosis-0.7177997552
Mean1.328025478
Median Absolute Deviation (MAD)0
Skewness0.00372032004
Sum417
Variance0.2978063124
MonotonicityNot monotonic
2024-01-01T21:26:52.423088image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 187
59.6%
2 115
36.6%
0 12
 
3.8%
ValueCountFrequency (%)
0 12
 
3.8%
1 187
59.6%
2 115
36.6%
ValueCountFrequency (%)
2 115
36.6%
1 187
59.6%
0 12
 
3.8%

11. Choosing a holiday I
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8598726115
Minimum0
Maximum2
Zeros96
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:52.609638image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6731604799
Coefficient of variation (CV)0.7828607062
Kurtosis-0.8020367418
Mean0.8598726115
Median Absolute Deviation (MAD)0
Skewness0.1738037721
Sum270
Variance0.4531450316
MonotonicityNot monotonic
2024-01-01T21:26:52.785458image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 166
52.9%
0 96
30.6%
2 52
 
16.6%
ValueCountFrequency (%)
0 96
30.6%
1 166
52.9%
2 52
 
16.6%
ValueCountFrequency (%)
2 52
 
16.6%
1 166
52.9%
0 96
30.6%

12. Choosing a new car I
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.127388535
Minimum0
Maximum2
Zeros55
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:53.010562image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6804068943
Coefficient of variation (CV)0.6035247594
Kurtosis-0.8412454529
Mean1.127388535
Median Absolute Deviation (MAD)0
Skewness-0.1635936219
Sum354
Variance0.4629535418
MonotonicityNot monotonic
2024-01-01T21:26:53.214736image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 164
52.2%
2 95
30.3%
0 55
 
17.5%
ValueCountFrequency (%)
0 55
 
17.5%
1 164
52.2%
2 95
30.3%
ValueCountFrequency (%)
2 95
30.3%
1 164
52.2%
0 55
 
17.5%

13. Learning a new skill
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8917197452
Minimum0
Maximum2
Zeros157
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:53.419544image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9395778934
Coefficient of variation (CV)1.053669495
Kurtosis-1.838678261
Mean0.8917197452
Median Absolute Deviation (MAD)0.5
Skewness0.2176933005
Sum280
Variance0.8828066177
MonotonicityNot monotonic
2024-01-01T21:26:53.589540image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 157
50.0%
2 123
39.2%
1 34
 
10.8%
ValueCountFrequency (%)
0 157
50.0%
1 34
 
10.8%
2 123
39.2%
ValueCountFrequency (%)
2 123
39.2%
1 34
 
10.8%
0 157
50.0%

14. Choosing from a restaurant menu
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8152866242
Minimum0
Maximum2
Zeros162
Zeros (%)51.6%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:53.805891image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9031125167
Coefficient of variation (CV)1.107723946
Kurtosis-1.67529402
Mean0.8152866242
Median Absolute Deviation (MAD)0
Skewness0.3729786654
Sum256
Variance0.8156122179
MonotonicityNot monotonic
2024-01-01T21:26:53.975863image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 162
51.6%
2 104
33.1%
1 48
 
15.3%
ValueCountFrequency (%)
0 162
51.6%
1 48
 
15.3%
2 104
33.1%
ValueCountFrequency (%)
2 104
33.1%
1 48
 
15.3%
0 162
51.6%

15. When listening to a band
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.117834395
Minimum0
Maximum2
Zeros113
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:54.240809image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9090249092
Coefficient of variation (CV)0.8132017706
Kurtosis-1.754118945
Mean1.117834395
Median Absolute Deviation (MAD)1
Skewness-0.2351919569
Sum351
Variance0.8263262856
MonotonicityNot monotonic
2024-01-01T21:26:54.443579image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 150
47.8%
0 113
36.0%
1 51
 
16.2%
ValueCountFrequency (%)
0 113
36.0%
1 51
 
16.2%
2 150
47.8%
ValueCountFrequency (%)
2 150
47.8%
1 51
 
16.2%
0 113
36.0%

16. When concentrating I
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8694267516
Minimum0
Maximum2
Zeros105
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:54.687302image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.723071406
Coefficient of variation (CV)0.8316645476
Kurtosis-1.067929298
Mean0.8694267516
Median Absolute Deviation (MAD)1
Skewness0.2024469971
Sum273
Variance0.5228322582
MonotonicityNot monotonic
2024-01-01T21:26:54.888899image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 145
46.2%
0 105
33.4%
2 64
20.4%
ValueCountFrequency (%)
0 105
33.4%
1 145
46.2%
2 64
20.4%
ValueCountFrequency (%)
2 64
20.4%
1 145
46.2%
0 105
33.4%

17. I remember things best by
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9617834395
Minimum0
Maximum2
Zeros123
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:55.135057image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8637931825
Coefficient of variation (CV)0.8981160905
Kurtosis-1.658861472
Mean0.9617834395
Median Absolute Deviation (MAD)1
Skewness0.07380008721
Sum302
Variance0.7461386622
MonotonicityNot monotonic
2024-01-01T21:26:55.345473image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 123
39.2%
2 111
35.4%
1 80
25.5%
ValueCountFrequency (%)
0 123
39.2%
1 80
25.5%
2 111
35.4%
ValueCountFrequency (%)
2 111
35.4%
1 80
25.5%
0 123
39.2%

18. My first memory is of
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.328025478
Minimum0
Maximum2
Zeros42
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:55.561825image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6996424824
Coefficient of variation (CV)0.5268291114
Kurtosis-0.831518027
Mean1.328025478
Median Absolute Deviation (MAD)1
Skewness-0.5525823024
Sum417
Variance0.4894996032
MonotonicityNot monotonic
2024-01-01T21:26:55.764272image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 145
46.2%
1 127
40.4%
0 42
 
13.4%
ValueCountFrequency (%)
0 42
 
13.4%
1 127
40.4%
2 145
46.2%
ValueCountFrequency (%)
2 145
46.2%
1 127
40.4%
0 42
 
13.4%

19. When anxious I
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.146496815
Minimum0
Maximum2
Zeros70
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:55.979314image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.756782213
Coefficient of variation (CV)0.6600822635
Kurtosis-1.216350894
Mean1.146496815
Median Absolute Deviation (MAD)1
Skewness-0.2505296218
Sum360
Variance0.5727193179
MonotonicityNot monotonic
2024-01-01T21:26:56.188367image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 128
40.8%
2 116
36.9%
0 70
22.3%
ValueCountFrequency (%)
0 70
22.3%
1 128
40.8%
2 116
36.9%
ValueCountFrequency (%)
2 116
36.9%
1 128
40.8%
0 70
22.3%
Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.356687898
Minimum0
Maximum2
Zeros23
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:56.399596image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6141332119
Coefficient of variation (CV)0.452670959
Kurtosis-0.6578674365
Mean1.356687898
Median Absolute Deviation (MAD)1
Skewness-0.3966196384
Sum426
Variance0.377159602
MonotonicityNot monotonic
2024-01-01T21:26:56.613085image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 156
49.7%
2 135
43.0%
0 23
 
7.3%
ValueCountFrequency (%)
0 23
 
7.3%
1 156
49.7%
2 135
43.0%
ValueCountFrequency (%)
2 135
43.0%
1 156
49.7%
0 23
 
7.3%

21. When I revise for an exam, I
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9554140127
Minimum0
Maximum2
Zeros131
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:56.809432image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8890095652
Coefficient of variation (CV)0.9304966782
Kurtosis-1.733559931
Mean0.9554140127
Median Absolute Deviation (MAD)1
Skewness0.08748136461
Sum300
Variance0.790338007
MonotonicityNot monotonic
2024-01-01T21:26:56.969439image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 131
41.7%
2 117
37.3%
1 66
21.0%
ValueCountFrequency (%)
0 131
41.7%
1 66
21.0%
2 117
37.3%
ValueCountFrequency (%)
2 117
37.3%
1 66
21.0%
0 131
41.7%
Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.152866242
Minimum0
Maximum2
Zeros60
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:57.201717image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7164485101
Coefficient of variation (CV)0.6214498127
Kurtosis-1.030374061
Mean1.152866242
Median Absolute Deviation (MAD)1
Skewness-0.2343315727
Sum362
Variance0.5132984677
MonotonicityNot monotonic
2024-01-01T21:26:57.401083image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 146
46.5%
2 108
34.4%
0 60
19.1%
ValueCountFrequency (%)
0 60
19.1%
1 146
46.5%
2 108
34.4%
ValueCountFrequency (%)
2 108
34.4%
1 146
46.5%
0 60
19.1%

23. My main interests are
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8821656051
Minimum0
Maximum2
Zeros128
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:57.607971image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8281009635
Coefficient of variation (CV)0.9387137276
Kurtosis-1.507977722
Mean0.8821656051
Median Absolute Deviation (MAD)1
Skewness0.2230301863
Sum277
Variance0.6857512057
MonotonicityNot monotonic
2024-01-01T21:26:57.827865image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 128
40.8%
1 95
30.3%
2 91
29.0%
ValueCountFrequency (%)
0 128
40.8%
1 95
30.3%
2 91
29.0%
ValueCountFrequency (%)
2 91
29.0%
1 95
30.3%
0 128
40.8%

24. Most of my free time is spent
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.194267516
Minimum0
Maximum2
Zeros107
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:58.024070image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.916915376
Coefficient of variation (CV)0.7677638082
Kurtosis-1.699582442
Mean1.194267516
Median Absolute Deviation (MAD)0
Skewness-0.394856217
Sum375
Variance0.8407338068
MonotonicityNot monotonic
2024-01-01T21:26:58.240383image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 168
53.5%
0 107
34.1%
1 39
 
12.4%
ValueCountFrequency (%)
0 107
34.1%
1 39
 
12.4%
2 168
53.5%
ValueCountFrequency (%)
2 168
53.5%
1 39
 
12.4%
0 107
34.1%

25. When I first contact a new person
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.156050955
Minimum0
Maximum2
Zeros63
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:58.415811image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7312152412
Coefficient of variation (CV)0.6325112555
Kurtosis-1.098881655
Mean1.156050955
Median Absolute Deviation (MAD)1
Skewness-0.2511700297
Sum363
Variance0.534675729
MonotonicityNot monotonic
2024-01-01T21:26:58.630766image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 139
44.3%
2 112
35.7%
0 63
20.1%
ValueCountFrequency (%)
0 63
20.1%
1 139
44.3%
2 112
35.7%
ValueCountFrequency (%)
2 112
35.7%
1 139
44.3%
0 63
20.1%

26. I first notice how people
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5191082803
Minimum0
Maximum2
Zeros175
Zeros (%)55.7%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:58.988787image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6354424142
Coefficient of variation (CV)1.224103792
Kurtosis-0.3467096247
Mean0.5191082803
Median Absolute Deviation (MAD)0
Skewness0.8302450295
Sum163
Variance0.4037870617
MonotonicityNot monotonic
2024-01-01T21:26:59.346001image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 175
55.7%
1 115
36.6%
2 24
 
7.6%
ValueCountFrequency (%)
0 175
55.7%
1 115
36.6%
2 24
 
7.6%
ValueCountFrequency (%)
2 24
 
7.6%
1 115
36.6%
0 175
55.7%

27. If I am very angry
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3566878981
Minimum0
Maximum2
Zeros239
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:26:59.722684image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6830933106
Coefficient of variation (CV)1.915100889
Kurtosis1.16216492
Mean0.3566878981
Median Absolute Deviation (MAD)0
Skewness1.648998542
Sum112
Variance0.466616471
MonotonicityNot monotonic
2024-01-01T21:27:00.067779image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 239
76.1%
1 38
 
12.1%
2 37
 
11.8%
ValueCountFrequency (%)
0 239
76.1%
1 38
 
12.1%
2 37
 
11.8%
ValueCountFrequency (%)
2 37
 
11.8%
1 38
 
12.1%
0 239
76.1%

28. I find it easiest to remember
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8789808917
Minimum0
Maximum2
Zeros162
Zeros (%)51.6%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:27:00.446370image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9481801535
Coefficient of variation (CV)1.078726696
Kurtosis-1.850291834
Mean0.8789808917
Median Absolute Deviation (MAD)0
Skewness0.2441212304
Sum276
Variance0.8990456035
MonotonicityNot monotonic
2024-01-01T21:27:00.806044image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 162
51.6%
2 124
39.5%
1 28
 
8.9%
ValueCountFrequency (%)
0 162
51.6%
1 28
 
8.9%
2 124
39.5%
ValueCountFrequency (%)
2 124
39.5%
1 28
 
8.9%
0 162
51.6%
Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5541401274
Minimum0
Maximum2
Zeros210
Zeros (%)66.9%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:27:01.238298image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8337520908
Coefficient of variation (CV)1.504587106
Kurtosis-0.8247107341
Mean0.5541401274
Median Absolute Deviation (MAD)0
Skewness0.9922819494
Sum174
Variance0.695142549
MonotonicityNot monotonic
2024-01-01T21:27:01.561742image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 210
66.9%
2 70
 
22.3%
1 34
 
10.8%
ValueCountFrequency (%)
0 210
66.9%
1 34
 
10.8%
2 70
 
22.3%
ValueCountFrequency (%)
2 70
 
22.3%
1 34
 
10.8%
0 210
66.9%
Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.031847134
Minimum0
Maximum2
Zeros143
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:27:01.951753image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9719410582
Coefficient of variation (CV)0.9419428774
Kurtosis-1.946827
Mean1.031847134
Median Absolute Deviation (MAD)1
Skewness-0.06394564757
Sum324
Variance0.9446694206
MonotonicityNot monotonic
2024-01-01T21:27:02.294112image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 153
48.7%
0 143
45.5%
1 18
 
5.7%
ValueCountFrequency (%)
0 143
45.5%
1 18
 
5.7%
2 153
48.7%
ValueCountFrequency (%)
2 153
48.7%
1 18
 
5.7%
0 143
45.5%
Distinct62
Distinct (%)69.7%
Missing225
Missing (%)71.7%
Memory size4.9 KiB
2024-01-01T21:27:03.556959image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length818
Median length153
Mean length54.05617978
Min length1

Characters and Unicode

Total characters4811
Distinct characters58
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)58.4%

Sample

1st rowFirst round
2nd rowFor me, i prefer continuous assessment or individual assignment more because it depends on my own time and effort.
3rd rowhope to see the outcome of this survey and what it shows for the options I chose
4th rowVery good survey and i hope to see the result
5th row-
ValueCountFrequency (%)
to 37
 
4.2%
i 29
 
3.3%
the 24
 
2.7%
learning 19
 
2.2%
no 17
 
1.9%
for 16
 
1.8%
it 14
 
1.6%
13
 
1.5%
as 13
 
1.5%
online 12
 
1.4%
Other values (351) 681
77.8%
2024-01-01T21:27:05.096488image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
793
16.5%
e 481
 
10.0%
t 358
 
7.4%
o 350
 
7.3%
n 313
 
6.5%
s 269
 
5.6%
a 254
 
5.3%
i 250
 
5.2%
r 232
 
4.8%
l 169
 
3.5%
Other values (48) 1342
27.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3805
79.1%
Space Separator 793
 
16.5%
Uppercase Letter 107
 
2.2%
Other Punctuation 83
 
1.7%
Dash Punctuation 14
 
0.3%
Decimal Number 5
 
0.1%
Control 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 481
12.6%
t 358
 
9.4%
o 350
 
9.2%
n 313
 
8.2%
s 269
 
7.1%
a 254
 
6.7%
i 250
 
6.6%
r 232
 
6.1%
l 169
 
4.4%
h 156
 
4.1%
Other values (16) 973
25.6%
Uppercase Letter
ValueCountFrequency (%)
I 29
27.1%
N 20
18.7%
T 13
12.1%
F 8
 
7.5%
O 7
 
6.5%
B 4
 
3.7%
S 4
 
3.7%
M 4
 
3.7%
A 4
 
3.7%
V 3
 
2.8%
Other values (8) 11
 
10.3%
Other Punctuation
ValueCountFrequency (%)
. 38
45.8%
, 27
32.5%
' 9
 
10.8%
! 3
 
3.6%
? 2
 
2.4%
/ 2
 
2.4%
; 1
 
1.2%
: 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
6 2
40.0%
3 2
40.0%
4 1
20.0%
Space Separator
ValueCountFrequency (%)
793
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Control
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3912
81.3%
Common 899
 
18.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 481
12.3%
t 358
 
9.2%
o 350
 
8.9%
n 313
 
8.0%
s 269
 
6.9%
a 254
 
6.5%
i 250
 
6.4%
r 232
 
5.9%
l 169
 
4.3%
h 156
 
4.0%
Other values (34) 1080
27.6%
Common
ValueCountFrequency (%)
793
88.2%
. 38
 
4.2%
, 27
 
3.0%
- 14
 
1.6%
' 9
 
1.0%
4
 
0.4%
! 3
 
0.3%
? 2
 
0.2%
6 2
 
0.2%
/ 2
 
0.2%
Other values (4) 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4811
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
793
16.5%
e 481
 
10.0%
t 358
 
7.4%
o 350
 
7.3%
n 313
 
6.5%
s 269
 
5.6%
a 254
 
5.3%
i 250
 
5.2%
r 232
 
4.8%
l 169
 
3.5%
Other values (48) 1342
27.9%
Distinct124
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:05.656671image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length60
Median length51
Mean length24.9522293
Min length2

Characters and Unicode

Total characters7835
Distinct characters49
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)24.5%

Sample

1st rowFsktm
2nd rowFSKTM
3rd rowFCSIT
4th rowFSKTM
5th rowFaculty of Comp Science
ValueCountFrequency (%)
of 106
10.4%
faculty 104
10.2%
computer 102
10.0%
science 102
10.0%
information 85
8.3%
technology 85
8.3%
and 82
8.0%
engineering 73
 
7.1%
chemical 48
 
4.7%
fsktm 41
 
4.0%
Other values (69) 194
19.0%
2024-01-01T21:27:06.492953image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
764
 
9.8%
n 675
 
8.6%
e 638
 
8.1%
o 580
 
7.4%
c 485
 
6.2%
i 455
 
5.8%
a 380
 
4.9%
t 359
 
4.6%
r 280
 
3.6%
m 277
 
3.5%
Other values (39) 2942
37.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5707
72.8%
Uppercase Letter 1339
 
17.1%
Space Separator 764
 
9.8%
Other Punctuation 23
 
0.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 675
11.8%
e 638
11.2%
o 580
10.2%
c 485
 
8.5%
i 455
 
8.0%
a 380
 
6.7%
t 359
 
6.3%
r 280
 
4.9%
m 277
 
4.9%
l 263
 
4.6%
Other values (12) 1315
23.0%
Uppercase Letter
ValueCountFrequency (%)
C 201
15.0%
F 180
13.4%
T 174
13.0%
S 158
11.8%
I 149
11.1%
E 106
7.9%
K 78
 
5.8%
M 73
 
5.5%
N 41
 
3.1%
A 39
 
2.9%
Other values (12) 140
10.5%
Other Punctuation
ValueCountFrequency (%)
& 19
82.6%
, 4
 
17.4%
Space Separator
ValueCountFrequency (%)
764
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7046
89.9%
Common 789
 
10.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 675
 
9.6%
e 638
 
9.1%
o 580
 
8.2%
c 485
 
6.9%
i 455
 
6.5%
a 380
 
5.4%
t 359
 
5.1%
r 280
 
4.0%
m 277
 
3.9%
l 263
 
3.7%
Other values (34) 2654
37.7%
Common
ValueCountFrequency (%)
764
96.8%
& 19
 
2.4%
, 4
 
0.5%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
764
 
9.8%
n 675
 
8.6%
e 638
 
8.1%
o 580
 
7.4%
c 485
 
6.2%
i 455
 
5.8%
a 380
 
4.9%
t 359
 
4.6%
r 280
 
3.6%
m 277
 
3.5%
Other values (39) 2942
37.5%
Distinct134
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:07.231136image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length60
Median length44
Mean length16.17515924
Min length1

Characters and Unicode

Total characters5079
Distinct characters53
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)28.3%

Sample

1st rowIs
2nd rowInformation System
3rd rowIS
4th rowIS
5th rowInformation System
ValueCountFrequency (%)
information 91
 
14.7%
engineering 76
 
12.3%
system 51
 
8.2%
chemical 43
 
6.9%
systems 37
 
6.0%
science 27
 
4.4%
department 18
 
2.9%
of 18
 
2.9%
computer 16
 
2.6%
is 15
 
2.4%
Other values (87) 228
36.8%
2024-01-01T21:27:08.183615image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 506
 
10.0%
e 493
 
9.7%
i 417
 
8.2%
353
 
7.0%
t 328
 
6.5%
o 287
 
5.7%
m 279
 
5.5%
a 259
 
5.1%
r 249
 
4.9%
g 175
 
3.4%
Other values (43) 1733
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3897
76.7%
Uppercase Letter 801
 
15.8%
Space Separator 353
 
7.0%
Decimal Number 10
 
0.2%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Dash Punctuation 5
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 506
13.0%
e 493
12.7%
i 417
10.7%
t 328
8.4%
o 287
 
7.4%
m 279
 
7.2%
a 259
 
6.6%
r 249
 
6.4%
g 175
 
4.5%
s 158
 
4.1%
Other values (13) 746
19.1%
Uppercase Letter
ValueCountFrequency (%)
I 159
19.9%
S 156
19.5%
E 102
12.7%
C 93
11.6%
T 44
 
5.5%
N 36
 
4.5%
D 34
 
4.2%
M 30
 
3.7%
A 24
 
3.0%
B 19
 
2.4%
Other values (11) 104
13.0%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
0 3
30.0%
4 2
20.0%
1 2
20.0%
Space Separator
ValueCountFrequency (%)
353
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4698
92.5%
Common 381
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 506
 
10.8%
e 493
 
10.5%
i 417
 
8.9%
t 328
 
7.0%
o 287
 
6.1%
m 279
 
5.9%
a 259
 
5.5%
r 249
 
5.3%
g 175
 
3.7%
I 159
 
3.4%
Other values (34) 1546
32.9%
Common
ValueCountFrequency (%)
353
92.7%
( 6
 
1.6%
) 6
 
1.6%
- 5
 
1.3%
2 3
 
0.8%
0 3
 
0.8%
4 2
 
0.5%
1 2
 
0.5%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5079
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 506
 
10.0%
e 493
 
9.7%
i 417
 
8.2%
353
 
7.0%
t 328
 
6.5%
o 287
 
5.7%
m 279
 
5.5%
a 259
 
5.1%
r 249
 
4.9%
g 175
 
3.4%
Other values (43) 1733
34.1%

Dominant_VAK
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.378980892
Minimum0
Maximum2
Zeros58
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-01T21:27:08.414428image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7789180542
Coefficient of variation (CV)0.5648505058
Kurtosis-0.9260724987
Mean1.378980892
Median Absolute Deviation (MAD)0
Skewness-0.7756293409
Sum433
Variance0.6067133351
MonotonicityNot monotonic
2024-01-01T21:27:08.604268image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 177
56.4%
1 79
25.2%
0 58
 
18.5%
ValueCountFrequency (%)
0 58
 
18.5%
1 79
25.2%
2 177
56.4%
ValueCountFrequency (%)
2 177
56.4%
1 79
25.2%
0 58
 
18.5%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.449044586
Minimum0
Maximum1
Zeros173
Zeros (%)55.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:08.809313image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4981906989
Coefficient of variation (CV)1.109445954
Kurtosis-1.970206274
Mean0.449044586
Median Absolute Deviation (MAD)0
Skewness0.2058731783
Sum141
Variance0.2481939724
MonotonicityNot monotonic
2024-01-01T21:27:09.001479image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 173
55.1%
1 141
44.9%
ValueCountFrequency (%)
0 173
55.1%
1 141
44.9%
ValueCountFrequency (%)
1 141
44.9%
0 173
55.1%

Face to Face_learnmode
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6847133758
Minimum0
Maximum1
Zeros99
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:09.210797image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4653715552
Coefficient of variation (CV)0.6796589224
Kurtosis-1.3704962
Mean0.6847133758
Median Absolute Deviation (MAD)0
Skewness-0.798920492
Sum215
Variance0.2165706844
MonotonicityNot monotonic
2024-01-01T21:27:09.372115image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 215
68.5%
0 99
31.5%
ValueCountFrequency (%)
0 99
31.5%
1 215
68.5%
ValueCountFrequency (%)
1 215
68.5%
0 99
31.5%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4394904459
Minimum0
Maximum1
Zeros176
Zeros (%)56.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:09.542078image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4971173082
Coefficient of variation (CV)1.131121991
Kurtosis-1.952450831
Mean0.4394904459
Median Absolute Deviation (MAD)0
Skewness0.2450022757
Sum138
Variance0.2471256181
MonotonicityNot monotonic
2024-01-01T21:27:09.734743image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 176
56.1%
1 138
43.9%
ValueCountFrequency (%)
0 176
56.1%
1 138
43.9%
ValueCountFrequency (%)
1 138
43.9%
0 176
56.1%

Facebook_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3184713376
Minimum0
Maximum1
Zeros214
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:09.933442image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4666270317
Coefficient of variation (CV)1.46520888
Kurtosis-1.39578974
Mean0.3184713376
Median Absolute Deviation (MAD)0
Skewness0.7830335376
Sum100
Variance0.2177407867
MonotonicityNot monotonic
2024-01-01T21:27:10.123984image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 214
68.2%
1 100
31.8%
ValueCountFrequency (%)
0 214
68.2%
1 100
31.8%
ValueCountFrequency (%)
1 100
31.8%
0 214
68.2%

Google Meet_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006369426752
Minimum0
Maximum1
Zeros312
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:10.293525image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07968109654
Coefficient of variation (CV)12.50993216
Kurtosis154.4742973
Mean0.006369426752
Median Absolute Deviation (MAD)0
Skewness12.46957919
Sum2
Variance0.006349077145
MonotonicityNot monotonic
2024-01-01T21:27:10.479393image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
1 2
 
0.6%
0 312
99.4%

Google meet _prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:10.671755image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:10.867506image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Discord_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:11.058603image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:11.267547image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Youtube_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7961783439
Minimum0
Maximum1
Zeros64
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:11.455885image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4034809164
Coefficient of variation (CV)0.506772031
Kurtosis0.1842179771
Mean0.7961783439
Median Absolute Deviation (MAD)0
Skewness-1.477526748
Sum250
Variance0.1627968499
MonotonicityNot monotonic
2024-01-01T21:27:11.615627image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 250
79.6%
0 64
 
20.4%
ValueCountFrequency (%)
0 64
 
20.4%
1 250
79.6%
ValueCountFrequency (%)
1 250
79.6%
0 64
 
20.4%

Google Classroom_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01592356688
Minimum0
Maximum1
Zeros309
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:11.799509image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1253797066
Coefficient of variation (CV)7.873845572
Kurtosis58.76684381
Mean0.01592356688
Median Absolute Deviation (MAD)0
Skewness7.771265391
Sum5
Variance0.01572007082
MonotonicityNot monotonic
2024-01-01T21:27:11.990334image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 309
98.4%
1 5
 
1.6%
ValueCountFrequency (%)
0 309
98.4%
1 5
 
1.6%
ValueCountFrequency (%)
1 5
 
1.6%
0 309
98.4%

WhatsApp_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:12.167217image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:12.310028image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Microsoft Teams_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:12.506513image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:12.689805image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Msteam_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:12.870544image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:13.058113image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Instagram_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.525477707
Minimum0
Maximum1
Zeros149
Zeros (%)47.5%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:13.237963image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5001475129
Coefficient of variation (CV)0.951795873
Kurtosis-2.002281152
Mean0.525477707
Median Absolute Deviation (MAD)0
Skewness-0.1025338524
Sum165
Variance0.2501475346
MonotonicityNot monotonic
2024-01-01T21:27:13.409600image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 165
52.5%
0 149
47.5%
ValueCountFrequency (%)
0 149
47.5%
1 165
52.5%
ValueCountFrequency (%)
1 165
52.5%
0 149
47.5%

Forums_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:13.570670image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:13.743246image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

YouTube _prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:13.935129image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:14.135996image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Whatapp_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:14.311486image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:14.496948image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

LinkedIn_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:14.668144image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:14.885330image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

zoom_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009554140127
Minimum0
Maximum1
Zeros311
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:15.079221image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09743249616
Coefficient of variation (CV)10.1979346
Kurtosis101.3012622
Mean0.009554140127
Median Absolute Deviation (MAD)0
Skewness10.13193263
Sum3
Variance0.009493091309
MonotonicityNot monotonic
2024-01-01T21:27:15.252600image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 311
99.0%
1 3
 
1.0%
ValueCountFrequency (%)
0 311
99.0%
1 3
 
1.0%
ValueCountFrequency (%)
1 3
 
1.0%
0 311
99.0%

Webex_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:15.412455image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:15.617542image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Microsoft Team_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006369426752
Minimum0
Maximum1
Zeros312
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:15.791385image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07968109654
Coefficient of variation (CV)12.50993216
Kurtosis154.4742973
Mean0.006369426752
Median Absolute Deviation (MAD)0
Skewness12.46957919
Sum2
Variance0.006349077145
MonotonicityNot monotonic
2024-01-01T21:27:15.985438image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
1 2
 
0.6%
0 312
99.4%

Telegram_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009554140127
Minimum0
Maximum1
Zeros311
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:16.179252image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09743249616
Coefficient of variation (CV)10.1979346
Kurtosis101.3012622
Mean0.009554140127
Median Absolute Deviation (MAD)0
Skewness10.13193263
Sum3
Variance0.009493091309
MonotonicityNot monotonic
2024-01-01T21:27:16.358357image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 311
99.0%
1 3
 
1.0%
ValueCountFrequency (%)
0 311
99.0%
1 3
 
1.0%
ValueCountFrequency (%)
1 3
 
1.0%
0 311
99.0%

Reddit_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006369426752
Minimum0
Maximum1
Zeros312
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:16.523092image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07968109654
Coefficient of variation (CV)12.50993216
Kurtosis154.4742973
Mean0.006369426752
Median Absolute Deviation (MAD)0
Skewness12.46957919
Sum2
Variance0.006349077145
MonotonicityNot monotonic
2024-01-01T21:27:16.695512image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
1 2
 
0.6%
0 312
99.4%

Google Classroom _prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:16.885220image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:17.071338image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Tiktok_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:17.243552image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:17.435160image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

google meet_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:17.595391image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:17.795098image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Twitter_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2834394904
Minimum0
Maximum1
Zeros225
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:17.992056image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4513872311
Coefficient of variation (CV)1.592534726
Kurtosis-1.074338131
Mean0.2834394904
Median Absolute Deviation (MAD)0
Skewness0.9656840199
Sum89
Variance0.2037504324
MonotonicityNot monotonic
2024-01-01T21:27:18.206626image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 225
71.7%
1 89
 
28.3%
ValueCountFrequency (%)
0 225
71.7%
1 89
 
28.3%
ValueCountFrequency (%)
1 89
 
28.3%
0 225
71.7%

Google classroom_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:18.409424image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:18.576699image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:18.765278image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:18.986287image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Blogger/Wordpress_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06369426752
Minimum0
Maximum1
Zeros294
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:19.147753image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2445973065
Coefficient of variation (CV)3.840177712
Kurtosis10.96083398
Mean0.06369426752
Median Absolute Deviation (MAD)0
Skewness3.590412098
Sum20
Variance0.05982784233
MonotonicityNot monotonic
2024-01-01T21:27:19.355917image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 294
93.6%
1 20
 
6.4%
ValueCountFrequency (%)
0 294
93.6%
1 20
 
6.4%
ValueCountFrequency (%)
1 20
 
6.4%
0 294
93.6%

TIKTOK_prefsocmed
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:19.535860image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:19.695656image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Call_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1337579618
Minimum0
Maximum1
Zeros272
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:19.895790image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3409354056
Coefficient of variation (CV)2.548898033
Kurtosis2.692330653
Mean0.1337579618
Median Absolute Deviation (MAD)0
Skewness2.16222626
Sum42
Variance0.1162369508
MonotonicityNot monotonic
2024-01-01T21:27:20.084871image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 272
86.6%
1 42
 
13.4%
ValueCountFrequency (%)
0 272
86.6%
1 42
 
13.4%
ValueCountFrequency (%)
1 42
 
13.4%
0 272
86.6%

Google Classroom _prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:20.305957image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:20.479742image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

MS Team_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:20.630746image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:20.811584image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Google Meet_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009554140127
Minimum0
Maximum1
Zeros311
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:20.979733image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09743249616
Coefficient of variation (CV)10.1979346
Kurtosis101.3012622
Mean0.009554140127
Median Absolute Deviation (MAD)0
Skewness10.13193263
Sum3
Variance0.009493091309
MonotonicityNot monotonic
2024-01-01T21:27:21.172573image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 311
99.0%
1 3
 
1.0%
ValueCountFrequency (%)
0 311
99.0%
1 3
 
1.0%
ValueCountFrequency (%)
1 3
 
1.0%
0 311
99.0%

Google meet_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006369426752
Minimum0
Maximum1
Zeros312
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:21.351222image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07968109654
Coefficient of variation (CV)12.50993216
Kurtosis154.4742973
Mean0.006369426752
Median Absolute Deviation (MAD)0
Skewness12.46957919
Sum2
Variance0.006349077145
MonotonicityNot monotonic
2024-01-01T21:27:21.539174image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
1 2
 
0.6%
0 312
99.4%

Whatsapp_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8949044586
Minimum0
Maximum1
Zeros33
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:21.751685image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3071659963
Coefficient of variation (CV)0.3432388714
Kurtosis4.726565833
Mean0.8949044586
Median Absolute Deviation (MAD)0
Skewness-2.587759727
Sum281
Variance0.09435094931
MonotonicityNot monotonic
2024-01-01T21:27:21.920125image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 281
89.5%
0 33
 
10.5%
ValueCountFrequency (%)
0 33
 
10.5%
1 281
89.5%
ValueCountFrequency (%)
1 281
89.5%
0 33
 
10.5%

Google meet _prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:22.093983image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:22.299899image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Discord_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009554140127
Minimum0
Maximum1
Zeros311
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:22.895082image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09743249616
Coefficient of variation (CV)10.1979346
Kurtosis101.3012622
Mean0.009554140127
Median Absolute Deviation (MAD)0
Skewness10.13193263
Sum3
Variance0.009493091309
MonotonicityNot monotonic
2024-01-01T21:27:23.118212image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 311
99.0%
1 3
 
1.0%
ValueCountFrequency (%)
0 311
99.0%
1 3
 
1.0%
ValueCountFrequency (%)
1 3
 
1.0%
0 311
99.0%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2420382166
Minimum0
Maximum1
Zeros238
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:23.290915image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4290009776
Coefficient of variation (CV)1.772451407
Kurtosis-0.5385837253
Mean0.2420382166
Median Absolute Deviation (MAD)0
Skewness1.210325375
Sum76
Variance0.1840418388
MonotonicityNot monotonic
2024-01-01T21:27:23.487017image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 238
75.8%
1 76
 
24.2%
ValueCountFrequency (%)
0 238
75.8%
1 76
 
24.2%
ValueCountFrequency (%)
1 76
 
24.2%
0 238
75.8%

Google Classroom_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006369426752
Minimum0
Maximum1
Zeros312
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:23.655259image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07968109654
Coefficient of variation (CV)12.50993216
Kurtosis154.4742973
Mean0.006369426752
Median Absolute Deviation (MAD)0
Skewness12.46957919
Sum2
Variance0.006349077145
MonotonicityNot monotonic
2024-01-01T21:27:23.856288image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
1 2
 
0.6%
0 312
99.4%

Kaizala_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:24.031852image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:24.189410image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Zoom_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006369426752
Minimum0
Maximum1
Zeros312
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:24.393975image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07968109654
Coefficient of variation (CV)12.50993216
Kurtosis154.4742973
Mean0.006369426752
Median Absolute Deviation (MAD)0
Skewness12.46957919
Sum2
Variance0.006349077145
MonotonicityNot monotonic
2024-01-01T21:27:24.578054image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
1 2
 
0.6%
0 312
99.4%

Cisco Webex_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006369426752
Minimum0
Maximum1
Zeros312
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:24.762949image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07968109654
Coefficient of variation (CV)12.50993216
Kurtosis154.4742973
Mean0.006369426752
Median Absolute Deviation (MAD)0
Skewness12.46957919
Sum2
Variance0.006349077145
MonotonicityNot monotonic
2024-01-01T21:27:25.011235image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
1 2
 
0.6%
0 312
99.4%

Google Meet _prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:25.176879image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:25.336143image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Microsoft Teams_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006369426752
Minimum0
Maximum1
Zeros312
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:25.519132image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07968109654
Coefficient of variation (CV)12.50993216
Kurtosis154.4742973
Mean0.006369426752
Median Absolute Deviation (MAD)0
Skewness12.46957919
Sum2
Variance0.006349077145
MonotonicityNot monotonic
2024-01-01T21:27:25.661465image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
1 2
 
0.6%
0 312
99.4%

Telegram_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5286624204
Minimum0
Maximum1
Zeros148
Zeros (%)47.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:25.822287image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4999745623
Coefficient of variation (CV)0.9457350155
Kurtosis-1.999461418
Mean0.5286624204
Median Absolute Deviation (MAD)0
Skewness-0.1153904859
Sum166
Variance0.249974563
MonotonicityNot monotonic
2024-01-01T21:27:26.005281image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 166
52.9%
0 148
47.1%
ValueCountFrequency (%)
0 148
47.1%
1 166
52.9%
ValueCountFrequency (%)
1 166
52.9%
0 148
47.1%

Email_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5127388535
Minimum0
Maximum1
Zeros153
Zeros (%)48.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:26.175961image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5006355213
Coefficient of variation (CV)0.9763947434
Kurtosis-2.010221745
Mean0.5127388535
Median Absolute Deviation (MAD)0
Skewness-0.05121695235
Sum161
Variance0.2506359252
MonotonicityNot monotonic
2024-01-01T21:27:26.352594image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 161
51.3%
0 153
48.7%
ValueCountFrequency (%)
0 153
48.7%
1 161
51.3%
ValueCountFrequency (%)
1 161
51.3%
0 153
48.7%

telegram_prefcomm
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:26.559476image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:26.747231image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:26.923322image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:27.088518image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5
Minimum0
Maximum1
Zeros157
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:27.238870image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5007980851
Coefficient of variation (CV)1.00159617
Kurtosis-2.012861736
Mean0.5
Median Absolute Deviation (MAD)0.5
Skewness0
Sum157
Variance0.250798722
MonotonicityNot monotonic
2024-01-01T21:27:27.452317image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 157
50.0%
1 157
50.0%
ValueCountFrequency (%)
0 157
50.0%
1 157
50.0%
ValueCountFrequency (%)
1 157
50.0%
0 157
50.0%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:27.659678image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:27.827352image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1624203822
Minimum0
Maximum1
Zeros263
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:28.026319image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3694247342
Coefficient of variation (CV)2.274497383
Kurtosis1.391892003
Mean0.1624203822
Median Absolute Deviation (MAD)0
Skewness1.839311547
Sum51
Variance0.1364746342
MonotonicityNot monotonic
2024-01-01T21:27:28.206613image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 263
83.8%
1 51
 
16.2%
ValueCountFrequency (%)
0 263
83.8%
1 51
 
16.2%
ValueCountFrequency (%)
1 51
 
16.2%
0 263
83.8%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:28.414385image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:28.609737image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:28.770450image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:28.926093image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5605095541
Minimum0
Maximum1
Zeros138
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:29.154213image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4971173082
Coefficient of variation (CV)0.8869024703
Kurtosis-1.952450831
Mean0.5605095541
Median Absolute Deviation (MAD)0
Skewness-0.2450022757
Sum176
Variance0.2471256181
MonotonicityNot monotonic
2024-01-01T21:27:29.353534image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 176
56.1%
0 138
43.9%
ValueCountFrequency (%)
0 138
43.9%
1 176
56.1%
ValueCountFrequency (%)
1 176
56.1%
0 138
43.9%

No_onlinelearningdifficulties
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01592356688
Minimum0
Maximum1
Zeros309
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:29.524713image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1253797066
Coefficient of variation (CV)7.873845572
Kurtosis58.76684381
Mean0.01592356688
Median Absolute Deviation (MAD)0
Skewness7.771265391
Sum5
Variance0.01572007082
MonotonicityNot monotonic
2024-01-01T21:27:29.708643image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 309
98.4%
1 5
 
1.6%
ValueCountFrequency (%)
0 309
98.4%
1 5
 
1.6%
ValueCountFrequency (%)
1 5
 
1.6%
0 309
98.4%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2802547771
Minimum0
Maximum1
Zeros226
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:29.884139image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.44984051
Coefficient of variation (CV)1.605112729
Kurtosis-1.039874889
Mean0.2802547771
Median Absolute Deviation (MAD)0
Skewness0.9832544702
Sum88
Variance0.2023564844
MonotonicityNot monotonic
2024-01-01T21:27:30.066154image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 226
72.0%
1 88
 
28.0%
ValueCountFrequency (%)
0 226
72.0%
1 88
 
28.0%
ValueCountFrequency (%)
1 88
 
28.0%
0 226
72.0%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:30.245252image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:30.407558image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2738853503
Minimum0
Maximum1
Zeros228
Zeros (%)72.6%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:30.568629image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4466626686
Coefficient of variation (CV)1.630838116
Kurtosis-0.9679411178
Mean0.2738853503
Median Absolute Deviation (MAD)0
Skewness1.018952863
Sum86
Variance0.1995075395
MonotonicityNot monotonic
2024-01-01T21:27:30.726529image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 228
72.6%
1 86
 
27.4%
ValueCountFrequency (%)
0 228
72.6%
1 86
 
27.4%
ValueCountFrequency (%)
1 86
 
27.4%
0 228
72.6%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:30.937996image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:31.095984image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:31.309939image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:31.491315image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2802547771
Minimum0
Maximum1
Zeros226
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:31.694363image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.44984051
Coefficient of variation (CV)1.605112729
Kurtosis-1.039874889
Mean0.2802547771
Median Absolute Deviation (MAD)0
Skewness0.9832544702
Sum88
Variance0.2023564844
MonotonicityNot monotonic
2024-01-01T21:27:31.871311image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 226
72.0%
1 88
 
28.0%
ValueCountFrequency (%)
0 226
72.0%
1 88
 
28.0%
ValueCountFrequency (%)
1 88
 
28.0%
0 226
72.0%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6305732484
Minimum0
Maximum1
Zeros116
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:32.065859image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.483419981
Coefficient of variation (CV)0.7666357274
Kurtosis-1.715390873
Mean0.6305732484
Median Absolute Deviation (MAD)0
Skewness-0.5436691142
Sum198
Variance0.233694878
MonotonicityNot monotonic
2024-01-01T21:27:32.260413image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 198
63.1%
0 116
36.9%
ValueCountFrequency (%)
0 116
36.9%
1 198
63.1%
ValueCountFrequency (%)
1 198
63.1%
0 116
36.9%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6751592357
Minimum0
Maximum1
Zeros102
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:32.412194image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4690628344
Coefficient of variation (CV)0.6947440094
Kurtosis-1.444284791
Mean0.6751592357
Median Absolute Deviation (MAD)0
Skewness-0.7516351258
Sum212
Variance0.2200199426
MonotonicityNot monotonic
2024-01-01T21:27:32.601191image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 212
67.5%
0 102
32.5%
ValueCountFrequency (%)
0 102
32.5%
1 212
67.5%
ValueCountFrequency (%)
1 212
67.5%
0 102
32.5%

Cost_onlinelearningdifficulties
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2834394904
Minimum0
Maximum1
Zeros225
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:32.769145image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4513872311
Coefficient of variation (CV)1.592534726
Kurtosis-1.074338131
Mean0.2834394904
Median Absolute Deviation (MAD)0
Skewness0.9656840199
Sum89
Variance0.2037504324
MonotonicityNot monotonic
2024-01-01T21:27:32.971268image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 225
71.7%
1 89
 
28.3%
ValueCountFrequency (%)
0 225
71.7%
1 89
 
28.3%
ValueCountFrequency (%)
1 89
 
28.3%
0 225
71.7%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07961783439
Minimum0
Maximum1
Zeros289
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:33.134819image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2711327212
Coefficient of variation (CV)3.405426979
Kurtosis7.789030209
Mean0.07961783439
Median Absolute Deviation (MAD)0
Skewness3.12081051
Sum25
Variance0.07351295252
MonotonicityNot monotonic
2024-01-01T21:27:33.291847image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 289
92.0%
1 25
 
8.0%
ValueCountFrequency (%)
0 289
92.0%
1 25
 
8.0%
ValueCountFrequency (%)
1 25
 
8.0%
0 289
92.0%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:33.476799image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:33.683942image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:33.874087image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:34.057751image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Not sure_onlinelearningdifficulties
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006369426752
Minimum0
Maximum1
Zeros312
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:34.226166image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07968109654
Coefficient of variation (CV)12.50993216
Kurtosis154.4742973
Mean0.006369426752
Median Absolute Deviation (MAD)0
Skewness12.46957919
Sum2
Variance0.006349077145
MonotonicityNot monotonic
2024-01-01T21:27:34.391958image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
1 2
 
0.6%
0 312
99.4%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2038216561
Minimum0
Maximum1
Zeros250
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:34.606595image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4034809164
Coefficient of variation (CV)1.979578246
Kurtosis0.1842179771
Mean0.2038216561
Median Absolute Deviation (MAD)0
Skewness1.477526748
Sum64
Variance0.1627968499
MonotonicityNot monotonic
2024-01-01T21:27:34.795873image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 250
79.6%
1 64
 
20.4%
ValueCountFrequency (%)
0 250
79.6%
1 64
 
20.4%
ValueCountFrequency (%)
1 64
 
20.4%
0 250
79.6%

None_onlinelearningdifficulties
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:34.987674image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:35.196286image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

Engagement_onlinelearningdifficulties
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4076433121
Minimum0
Maximum1
Zeros186
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:35.385921image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4921805691
Coefficient of variation (CV)1.207380459
Kurtosis-1.869288668
Mean0.4076433121
Median Absolute Deviation (MAD)0
Skewness0.3777016964
Sum128
Variance0.2422417126
MonotonicityNot monotonic
2024-01-01T21:27:35.579323image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 186
59.2%
1 128
40.8%
ValueCountFrequency (%)
0 186
59.2%
1 128
40.8%
ValueCountFrequency (%)
1 128
40.8%
0 186
59.2%

youtube
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4585987261
Minimum0
Maximum1
Zeros170
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:35.775324image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4990783308
Coefficient of variation (CV)1.088268027
Kurtosis-1.984802542
Mean0.4585987261
Median Absolute Deviation (MAD)0
Skewness0.1669744571
Sum144
Variance0.2490791803
MonotonicityNot monotonic
2024-01-01T21:27:35.975294image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 170
54.1%
1 144
45.9%
ValueCountFrequency (%)
0 170
54.1%
1 144
45.9%
ValueCountFrequency (%)
1 144
45.9%
0 170
54.1%

live
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4267515924
Minimum0
Maximum1
Zeros180
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:36.206884image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4953950456
Coefficient of variation (CV)1.160851077
Kurtosis-1.923720579
Mean0.4267515924
Median Absolute Deviation (MAD)0
Skewness0.2976127815
Sum134
Variance0.2454162512
MonotonicityNot monotonic
2024-01-01T21:27:36.373500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 180
57.3%
1 134
42.7%
ValueCountFrequency (%)
0 180
57.3%
1 134
42.7%
ValueCountFrequency (%)
1 134
42.7%
0 180
57.3%

debugging
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03503184713
Minimum0
Maximum1
Zeros303
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:36.553500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1841537911
Coefficient of variation (CV)5.256753674
Kurtosis23.98096965
Mean0.03503184713
Median Absolute Deviation (MAD)0
Skewness5.082151337
Sum11
Variance0.03391261879
MonotonicityNot monotonic
2024-01-01T21:27:36.710868image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 303
96.5%
1 11
 
3.5%
ValueCountFrequency (%)
0 303
96.5%
1 11
 
3.5%
ValueCountFrequency (%)
1 11
 
3.5%
0 303
96.5%

problem based learning
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0127388535
Minimum0
Maximum1
Zeros310
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:36.890640image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1123243334
Coefficient of variation (CV)8.817460169
Kurtosis74.71640998
Mean0.0127388535
Median Absolute Deviation (MAD)0
Skewness8.731582921
Sum4
Variance0.01261675587
MonotonicityNot monotonic
2024-01-01T21:27:37.082385image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 310
98.7%
1 4
 
1.3%
ValueCountFrequency (%)
0 310
98.7%
1 4
 
1.3%
ValueCountFrequency (%)
1 4
 
1.3%
0 310
98.7%

recorded
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.101910828
Minimum0
Maximum1
Zeros282
Zeros (%)89.8%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:37.237430image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3030138996
Coefficient of variation (CV)2.97332389
Kurtosis5.024677659
Mean0.101910828
Median Absolute Deviation (MAD)0
Skewness2.644373913
Sum32
Variance0.09181742333
MonotonicityNot monotonic
2024-01-01T21:27:37.391215image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 282
89.8%
1 32
 
10.2%
ValueCountFrequency (%)
0 282
89.8%
1 32
 
10.2%
ValueCountFrequency (%)
1 32
 
10.2%
0 282
89.8%

case study
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:37.561082image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:37.778672image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

demo
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07643312102
Minimum0
Maximum1
Zeros290
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:37.915141image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2661139412
Coefficient of variation (CV)3.481657397
Kurtosis8.316986522
Mean0.07643312102
Median Absolute Deviation (MAD)0
Skewness3.203755875
Sum24
Variance0.0708166297
MonotonicityNot monotonic
2024-01-01T21:27:38.071625image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 290
92.4%
1 24
 
7.6%
ValueCountFrequency (%)
0 290
92.4%
1 24
 
7.6%
ValueCountFrequency (%)
1 24
 
7.6%
0 290
92.4%

simulation
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009554140127
Minimum0
Maximum1
Zeros311
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:38.294031image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09743249616
Coefficient of variation (CV)10.1979346
Kurtosis101.3012622
Mean0.009554140127
Median Absolute Deviation (MAD)0
Skewness10.13193263
Sum3
Variance0.009493091309
MonotonicityNot monotonic
2024-01-01T21:27:38.532885image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 311
99.0%
1 3
 
1.0%
ValueCountFrequency (%)
0 311
99.0%
1 3
 
1.0%
ValueCountFrequency (%)
1 3
 
1.0%
0 311
99.0%

guided
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02229299363
Minimum0
Maximum1
Zeros307
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:38.771272image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1478703889
Coefficient of variation (CV)6.633043157
Kurtosis40.54168825
Mean0.02229299363
Median Absolute Deviation (MAD)0
Skewness6.502576134
Sum7
Variance0.0218656519
MonotonicityNot monotonic
2024-01-01T21:27:39.041789image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307
97.8%
1 7
 
2.2%
ValueCountFrequency (%)
0 307
97.8%
1 7
 
2.2%
ValueCountFrequency (%)
1 7
 
2.2%
0 307
97.8%

discussion
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros314
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:39.293543image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-01-01T21:27:39.588612image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 314
100.0%
ValueCountFrequency (%)
0 314
100.0%
ValueCountFrequency (%)
0 314
100.0%

forum
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006369426752
Minimum0
Maximum1
Zeros312
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:39.838536image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07968109654
Coefficient of variation (CV)12.50993216
Kurtosis154.4742973
Mean0.006369426752
Median Absolute Deviation (MAD)0
Skewness12.46957919
Sum2
Variance0.006349077145
MonotonicityNot monotonic
2024-01-01T21:27:40.096417image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
1 2
 
0.6%
0 312
99.4%

game
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0127388535
Minimum0
Maximum1
Zeros310
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:40.325123image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1123243334
Coefficient of variation (CV)8.817460169
Kurtosis74.71640998
Mean0.0127388535
Median Absolute Deviation (MAD)0
Skewness8.731582921
Sum4
Variance0.01261675587
MonotonicityNot monotonic
2024-01-01T21:27:40.556941image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 310
98.7%
1 4
 
1.3%
ValueCountFrequency (%)
0 310
98.7%
1 4
 
1.3%
ValueCountFrequency (%)
1 4
 
1.3%
0 310
98.7%

journaling
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003184713376
Minimum0
Maximum1
Zeros313
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:40.779039image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0564332648
Coefficient of variation (CV)17.72004515
Kurtosis314
Mean0.003184713376
Median Absolute Deviation (MAD)0
Skewness17.72004515
Sum1
Variance0.003184713376
MonotonicityNot monotonic
2024-01-01T21:27:41.027347image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
0 313
99.7%
1 1
 
0.3%
ValueCountFrequency (%)
1 1
 
0.3%
0 313
99.7%

writing
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006369426752
Minimum0
Maximum1
Zeros312
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-01-01T21:27:41.243335image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07968109654
Coefficient of variation (CV)12.50993216
Kurtosis154.4742973
Mean0.006369426752
Median Absolute Deviation (MAD)0
Skewness12.46957919
Sum2
Variance0.006349077145
MonotonicityNot monotonic
2024-01-01T21:27:41.472907image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
0 312
99.4%
1 2
 
0.6%
ValueCountFrequency (%)
1 2
 
0.6%
0 312
99.4%